{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}D:\ESCRITORIOHP\LEONARDO\PAPER2\PAPER2\2022\PS&RM\R&R\harvadtataverse\Log_Lago4.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}27 Dec 2022, 08:35:26

{com}. use "C:\Users\u29328\Downloads\constituency_level.dta"

. 
. *****Data set-up

. 
. **creating a dummy for the south

. 
. gen south=dummies
{txt}(2 missing values generated)

{com}. 
. recode south 20=1 25=1 27=1 5=1 23=1 18=1 10=1 3=1 14=1 29=1 9=1  *=0
{txt}(36264 changes made to {bf:south})

{com}. 
. **creating time zones

. 
. gen timezones=dummies
{txt}(2 missing values generated)

{com}. 
. recode timezones 13=5 4=5 27=5 5=5 17=5 15=5 21=5 6=5 24=5 26=5  1=5 7=5 8=5 10=5 16=5 2=5 11=5 3=5 14=5 12=5 9=5 50=5 20=6 25=6 19=6 28=6 34=6 23=6 32=6 18=6 36=6 42=6 43=6 45=6 29=6 30=6 22=6 47=7 37=7 38=7 46=7 44=7 40=7 31=8 41=8 35=8 33=8 39=8 51=5 *=.
{txt}(35361 changes made to {bf:timezones})

{com}. 
. label variable timezones "timezones"

. 
. label define timezones 5 "GMT-5" 6 "GMT-6" 7 "GMT-7" 8 "GMT-8"

. 
. label values timezones timezones

. 
. 
. 
. 
. 
. *Table 1

. 
. reg ENP_cst c.logdis   vv1million   popmillion i.dummies if dummies!=48&dummies!=49, cluster(dummies)

{txt}Linear regression                               Number of obs     = {res}    31,574
                                                {txt}{help j_robustsingular:F(2, 48) }         =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.1924
                                                {txt}Root MSE          =    {res} .33156

{txt}{ralign 78:(Std. err. adjusted for {res:49} clusters in {res:dummies})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     ENP_cst{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}logdist {c |}{col 14}{res}{space 2} .0162129{col 26}{space 2} .0210565{col 37}{space 1}    0.77{col 46}{space 3}0.445{col 54}{space 4}-.0261241{col 67}{space 3} .0585499
{txt}{space 2}vv1million {c |}{col 14}{res}{space 2} .0234375{col 26}{space 2} .0140727{col 37}{space 1}    1.67{col 46}{space 3}0.102{col 54}{space 4}-.0048576{col 67}{space 3} .0517325
{txt}{space 2}popmillion {c |}{col 14}{res}{space 2} -.003187{col 26}{space 2} .0037972{col 37}{space 1}   -0.84{col 46}{space 3}0.405{col 54}{space 4}-.0108218{col 67}{space 3} .0044479
{txt}{space 12} {c |}
{space 5}dummies {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0003474{col 26}{space 2} .0407068{col 37}{space 1}   -0.01{col 46}{space 3}0.993{col 54}{space 4} -.082194{col 67}{space 3} .0814991
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.5256148{col 26}{space 2} .0061543{col 37}{space 1}  -85.41{col 46}{space 3}0.000{col 54}{space 4}-.5379889{col 67}{space 3}-.5132406
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0339587{col 26}{space 2} .0336228{col 37}{space 1}    1.01{col 46}{space 3}0.318{col 54}{space 4}-.0336444{col 67}{space 3} .1015618
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.4292954{col 26}{space 2} .0127902{col 37}{space 1}  -33.56{col 46}{space 3}0.000{col 54}{space 4}-.4550119{col 67}{space 3}-.4035789
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.0746569{col 26}{space 2} .0534017{col 37}{space 1}   -1.40{col 46}{space 3}0.169{col 54}{space 4}-.1820283{col 67}{space 3} .0327144
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.0228044{col 26}{space 2} .0288469{col 37}{space 1}   -0.79{col 46}{space 3}0.433{col 54}{space 4} -.080805{col 67}{space 3} .0351962
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .1766623{col 26}{space 2} .0439495{col 37}{space 1}    4.02{col 46}{space 3}0.000{col 54}{space 4}  .088296{col 67}{space 3} .2650286
{txt}{space 10}9  {c |}{col 14}{res}{space 2} -.235527{col 26}{space 2} .0371583{col 37}{space 1}   -6.34{col 46}{space 3}0.000{col 54}{space 4}-.3102388{col 67}{space 3}-.1608151
{txt}{space 9}10  {c |}{col 14}{res}{space 2}-.1827456{col 26}{space 2} .0174598{col 37}{space 1}  -10.47{col 46}{space 3}0.000{col 54}{space 4}-.2178509{col 67}{space 3}-.1476403
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.0739882{col 26}{space 2} .0045509{col 37}{space 1}  -16.26{col 46}{space 3}0.000{col 54}{space 4}-.0831383{col 67}{space 3} -.064838
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.1317728{col 26}{space 2} .0023658{col 37}{space 1}  -55.70{col 46}{space 3}0.000{col 54}{space 4}-.1365295{col 67}{space 3}-.1270161
{txt}{space 9}13  {c |}{col 14}{res}{space 2} .0483273{col 26}{space 2} .0113761{col 37}{space 1}    4.25{col 46}{space 3}0.000{col 54}{space 4}  .025454{col 67}{space 3} .0712006
{txt}{space 9}14  {c |}{col 14}{res}{space 2}-.2903458{col 26}{space 2} .0082647{col 37}{space 1}  -35.13{col 46}{space 3}0.000{col 54}{space 4} -.306963{col 67}{space 3}-.2737286
{txt}{space 9}15  {c |}{col 14}{res}{space 2}-.1225633{col 26}{space 2} .0064956{col 37}{space 1}  -18.87{col 46}{space 3}0.000{col 54}{space 4}-.1356235{col 67}{space 3} -.109503
{txt}{space 9}16  {c |}{col 14}{res}{space 2}-.0252815{col 26}{space 2} .0241472{col 37}{space 1}   -1.05{col 46}{space 3}0.300{col 54}{space 4}-.0738327{col 67}{space 3} .0232696
{txt}{space 9}17  {c |}{col 14}{res}{space 2} .0288675{col 26}{space 2} .0096647{col 37}{space 1}    2.99{col 46}{space 3}0.004{col 54}{space 4} .0094353{col 67}{space 3} .0482998
{txt}{space 9}18  {c |}{col 14}{res}{space 2}-.4338982{col 26}{space 2} .0134564{col 37}{space 1}  -32.24{col 46}{space 3}0.000{col 54}{space 4} -.460954{col 67}{space 3}-.4068424
{txt}{space 9}19  {c |}{col 14}{res}{space 2} -.063493{col 26}{space 2} .0250894{col 37}{space 1}   -2.53{col 46}{space 3}0.015{col 54}{space 4}-.1139386{col 67}{space 3}-.0130473
{txt}{space 9}20  {c |}{col 14}{res}{space 2}-.4018158{col 26}{space 2} .0102736{col 37}{space 1}  -39.11{col 46}{space 3}0.000{col 54}{space 4}-.4224723{col 67}{space 3}-.3811594
{txt}{space 9}21  {c |}{col 14}{res}{space 2} .0053301{col 26}{space 2} .0051117{col 37}{space 1}    1.04{col 46}{space 3}0.302{col 54}{space 4}-.0049477{col 67}{space 3} .0156079
{txt}{space 9}22  {c |}{col 14}{res}{space 2}-.0239392{col 26}{space 2} .0144689{col 37}{space 1}   -1.65{col 46}{space 3}0.105{col 54}{space 4}-.0530309{col 67}{space 3} .0051525
{txt}{space 9}23  {c |}{col 14}{res}{space 2}-.4617037{col 26}{space 2} .0173274{col 37}{space 1}  -26.65{col 46}{space 3}0.000{col 54}{space 4}-.4965427{col 67}{space 3}-.4268648
{txt}{space 9}24  {c |}{col 14}{res}{space 2} -.132135{col 26}{space 2} .0126479{col 37}{space 1}  -10.45{col 46}{space 3}0.000{col 54}{space 4}-.1575654{col 67}{space 3}-.1067047
{txt}{space 9}25  {c |}{col 14}{res}{space 2}-.3359263{col 26}{space 2} .0152037{col 37}{space 1}  -22.09{col 46}{space 3}0.000{col 54}{space 4}-.3664954{col 67}{space 3}-.3053571
{txt}{space 9}26  {c |}{col 14}{res}{space 2} -.092092{col 26}{space 2} .0198517{col 37}{space 1}   -4.64{col 46}{space 3}0.000{col 54}{space 4}-.1320064{col 67}{space 3}-.0521775
{txt}{space 9}27  {c |}{col 14}{res}{space 2}-.2719364{col 26}{space 2} .0359737{col 37}{space 1}   -7.56{col 46}{space 3}0.000{col 54}{space 4}-.3442663{col 67}{space 3}-.1996065
{txt}{space 9}28  {c |}{col 14}{res}{space 2} -.048322{col 26}{space 2} .0146607{col 37}{space 1}   -3.30{col 46}{space 3}0.002{col 54}{space 4}-.0777993{col 67}{space 3}-.0188447
{txt}{space 9}29  {c |}{col 14}{res}{space 2}-.4298394{col 26}{space 2} .0412954{col 37}{space 1}  -10.41{col 46}{space 3}0.000{col 54}{space 4}-.5128693{col 67}{space 3}-.3468095
{txt}{space 9}30  {c |}{col 14}{res}{space 2}-.0407414{col 26}{space 2} .0121919{col 37}{space 1}   -3.34{col 46}{space 3}0.002{col 54}{space 4}-.0652548{col 67}{space 3}-.0162279
{txt}{space 9}31  {c |}{col 14}{res}{space 2}-.1525023{col 26}{space 2} .0754047{col 37}{space 1}   -2.02{col 46}{space 3}0.049{col 54}{space 4}-.3041136{col 67}{space 3}-.0008911
{txt}{space 9}32  {c |}{col 14}{res}{space 2} .0228397{col 26}{space 2}  .016879{col 37}{space 1}    1.35{col 46}{space 3}0.182{col 54}{space 4}-.0110977{col 67}{space 3} .0567771
{txt}{space 9}33  {c |}{col 14}{res}{space 2}-.0453868{col 26}{space 2} .0342457{col 37}{space 1}   -1.33{col 46}{space 3}0.191{col 54}{space 4}-.1142424{col 67}{space 3} .0234688
{txt}{space 9}34  {c |}{col 14}{res}{space 2}-.0240332{col 26}{space 2} .0188099{col 37}{space 1}   -1.28{col 46}{space 3}0.208{col 54}{space 4} -.061853{col 67}{space 3} .0137866
{txt}{space 9}35  {c |}{col 14}{res}{space 2} .0175452{col 26}{space 2} .0329194{col 37}{space 1}    0.53{col 46}{space 3}0.597{col 54}{space 4}-.0486438{col 67}{space 3} .0837342
{txt}{space 9}36  {c |}{col 14}{res}{space 2}-.0314906{col 26}{space 2} .0195289{col 37}{space 1}   -1.61{col 46}{space 3}0.113{col 54}{space 4}-.0707561{col 67}{space 3} .0077749
{txt}{space 9}37  {c |}{col 14}{res}{space 2}-.0467007{col 26}{space 2} .0252873{col 37}{space 1}   -1.85{col 46}{space 3}0.071{col 54}{space 4}-.0975442{col 67}{space 3} .0041428
{txt}{space 9}38  {c |}{col 14}{res}{space 2} .0098343{col 26}{space 2} .0294635{col 37}{space 1}    0.33{col 46}{space 3}0.740{col 54}{space 4} -.049406{col 67}{space 3} .0690746
{txt}{space 9}39  {c |}{col 14}{res}{space 2}-.1039574{col 26}{space 2} .0337694{col 37}{space 1}   -3.08{col 46}{space 3}0.003{col 54}{space 4}-.1718553{col 67}{space 3}-.0360595
{txt}{space 9}40  {c |}{col 14}{res}{space 2}-.0436871{col 26}{space 2} .0279392{col 37}{space 1}   -1.56{col 46}{space 3}0.124{col 54}{space 4}-.0998626{col 67}{space 3} .0124884
{txt}{space 9}41  {c |}{col 14}{res}{space 2}-.0118967{col 26}{space 2} .0316217{col 37}{space 1}   -0.38{col 46}{space 3}0.708{col 54}{space 4}-.0754764{col 67}{space 3}  .051683
{txt}{space 9}42  {c |}{col 14}{res}{space 2}-.1042267{col 26}{space 2} .0226411{col 37}{space 1}   -4.60{col 46}{space 3}0.000{col 54}{space 4}-.1497497{col 67}{space 3}-.0587037
{txt}{space 9}43  {c |}{col 14}{res}{space 2}-.0212151{col 26}{space 2} .0210787{col 37}{space 1}   -1.01{col 46}{space 3}0.319{col 54}{space 4}-.0635967{col 67}{space 3} .0211665
{txt}{space 9}44  {c |}{col 14}{res}{space 2}-.0286165{col 26}{space 2}  .029796{col 37}{space 1}   -0.96{col 46}{space 3}0.342{col 54}{space 4}-.0885254{col 67}{space 3} .0312925
{txt}{space 9}45  {c |}{col 14}{res}{space 2}-.1356429{col 26}{space 2} .0197403{col 37}{space 1}   -6.87{col 46}{space 3}0.000{col 54}{space 4}-.1753333{col 67}{space 3}-.0959524
{txt}{space 9}46  {c |}{col 14}{res}{space 2}-.1057254{col 26}{space 2} .0270988{col 37}{space 1}   -3.90{col 46}{space 3}0.000{col 54}{space 4}-.1602112{col 67}{space 3}-.0512396
{txt}{space 9}47  {c |}{col 14}{res}{space 2}-.1378819{col 26}{space 2} .0306116{col 37}{space 1}   -4.50{col 46}{space 3}0.000{col 54}{space 4}-.1994307{col 67}{space 3}-.0763331
{txt}{space 9}50  {c |}{col 14}{res}{space 2}-.0386867{col 26}{space 2}  .016557{col 37}{space 1}   -2.34{col 46}{space 3}0.024{col 54}{space 4}-.0719767{col 67}{space 3}-.0053967
{txt}{space 9}51  {c |}{col 14}{res}{space 2} .4032476{col 26}{space 2} .1391203{col 37}{space 1}    2.90{col 46}{space 3}0.006{col 54}{space 4} .1235275{col 67}{space 3} .6829676
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 1.903587{col 26}{space 2} .1369751{col 37}{space 1}   13.90{col 46}{space 3}0.000{col 54}{space 4}  1.62818{col 67}{space 3} 2.178994
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. predict j if e(sample)==1
{txt}(option {bf:xb} assumed; fitted values)
(4,690 missing values generated)

{com}. 
. estpost summarize ENP_cst logdist vv1million popmillion if j<10000

{txt}{space 0}{space 0}{ralign 12:}{space 1}{c |}{space 1}{ralign 9:e(count)}{space 1}{space 1}{ralign 9:e(sum_w)}{space 1}{space 1}{ralign 9:e(mean)}{space 1}{space 1}{ralign 9:e(Var)}{space 1}{space 1}{ralign 9:e(sd)}{space 1}{space 1}{ralign 9:e(min)}{space 1}{space 1}{ralign 9:e(max)}{space 1}{space 1}{ralign 9:e(sum)}{space 1}
{space 0}{hline 13}{c   +}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}
{space 0}{space 0}{ralign 12:ENP_cst}{space 1}{c |}{space 1}{ralign 9:{res:{sf:    31574}}}{space 1}{space 1}{ralign 9:{res:{sf:    31574}}}{space 1}{space 1}{ralign 9:{res:{sf: 1.901673}}}{space 1}{space 1}{ralign 9:{res:{sf: .1358979}}}{space 1}{space 1}{ralign 9:{res:{sf: .3686434}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf: 4.737533}}}{space 1}{space 1}{ralign 9:{res:{sf: 60043.44}}}{space 1}
{space 0}{space 0}{ralign 12:logdist}{space 1}{c |}{space 1}{ralign 9:{res:{sf:    31574}}}{space 1}{space 1}{ralign 9:{res:{sf:    31574}}}{space 1}{space 1}{ralign 9:{res:{sf: 6.633129}}}{space 1}{space 1}{ralign 9:{res:{sf: .8748215}}}{space 1}{space 1}{ralign 9:{res:{sf: .9353189}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf: 8.278926}}}{space 1}{space 1}{ralign 9:{res:{sf: 209434.4}}}{space 1}
{space 0}{space 0}{ralign 12:vv1million}{space 1}{c |}{space 1}{ralign 9:{res:{sf:    31574}}}{space 1}{space 1}{ralign 9:{res:{sf:    31574}}}{space 1}{space 1}{ralign 9:{res:{sf: .1136274}}}{space 1}{space 1}{ralign 9:{res:{sf: .0644341}}}{space 1}{space 1}{ralign 9:{res:{sf: .2538388}}}{space 1}{space 1}{ralign 9:{res:{sf:  .000607}}}{space 1}{space 1}{ralign 9:{res:{sf: 20.76723}}}{space 1}{space 1}{ralign 9:{res:{sf: 3587.672}}}{space 1}
{space 0}{space 0}{ralign 12:popmillion}{space 1}{c |}{space 1}{ralign 9:{res:{sf:    31574}}}{space 1}{space 1}{ralign 9:{res:{sf:    31574}}}{space 1}{space 1}{ralign 9:{res:{sf: 6.140984}}}{space 1}{space 1}{ralign 9:{res:{sf: 43.70768}}}{space 1}{space 1}{ralign 9:{res:{sf: 6.611178}}}{space 1}{space 1}{ralign 9:{res:{sf:  .042335}}}{space 1}{space 1}{ralign 9:{res:{sf: 37.25396}}}{space 1}{space 1}{ralign 9:{res:{sf: 193895.4}}}{space 1}

{com}. 
. esttab using "table1all.rtf", replace cells("count(fmt(a2)) mean sd min max") label
{res}{txt}(output written to {browse  `"table1all.rtf"'})

{com}. 
. reg ENP_cst c.logdis   vv1million   popmillion i.dummies if dummies!=48&dummies!=49&south==0, cluster(dummies)

{txt}Linear regression                               Number of obs     = {res}    24,631
                                                {txt}{help j_robustsingular:F(2, 37) }         =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0817
                                                {txt}Root MSE          =    {res} .31465

{txt}{ralign 78:(Std. err. adjusted for {res:38} clusters in {res:dummies})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     ENP_cst{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}logdist {c |}{col 14}{res}{space 2} .0298533{col 26}{space 2} .0210919{col 37}{space 1}    1.42{col 46}{space 3}0.165{col 54}{space 4}-.0128828{col 67}{space 3} .0725895
{txt}{space 2}vv1million {c |}{col 14}{res}{space 2}-.0005004{col 26}{space 2} .0147697{col 37}{space 1}   -0.03{col 46}{space 3}0.973{col 54}{space 4}-.0304267{col 67}{space 3} .0294259
{txt}{space 2}popmillion {c |}{col 14}{res}{space 2}-.0063533{col 26}{space 2} .0048248{col 37}{space 1}   -1.32{col 46}{space 3}0.196{col 54}{space 4}-.0161293{col 67}{space 3} .0034227
{txt}{space 12} {c |}
{space 5}dummies {c |}
{space 10}2  {c |}{col 14}{res}{space 2}  .038032{col 26}{space 2} .0519796{col 37}{space 1}    0.73{col 46}{space 3}0.469{col 54}{space 4}-.0672887{col 67}{space 3} .1433527
{txt}{space 10}4  {c |}{col 14}{res}{space 2}  .055556{col 26}{space 2} .0332622{col 37}{space 1}    1.67{col 46}{space 3}0.103{col 54}{space 4}-.0118396{col 67}{space 3} .1229516
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.0354829{col 26}{space 2} .0566969{col 37}{space 1}   -0.63{col 46}{space 3}0.535{col 54}{space 4}-.1503617{col 67}{space 3} .0793959
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .0040132{col 26}{space 2} .0356631{col 37}{space 1}    0.11{col 46}{space 3}0.911{col 54}{space 4}-.0682472{col 67}{space 3} .0762735
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .2172209{col 26}{space 2} .0573462{col 37}{space 1}    3.79{col 46}{space 3}0.001{col 54}{space 4} .1010264{col 67}{space 3} .3334153
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.0710047{col 26}{space 2} .0046096{col 37}{space 1}  -15.40{col 46}{space 3}0.000{col 54}{space 4}-.0803446{col 67}{space 3}-.0616648
{txt}{space 9}12  {c |}{col 14}{res}{space 2} -.131624{col 26}{space 2} .0021327{col 37}{space 1}  -61.72{col 46}{space 3}0.000{col 54}{space 4}-.1359453{col 67}{space 3}-.1273027
{txt}{space 9}13  {c |}{col 14}{res}{space 2} .0592644{col 26}{space 2} .0134331{col 37}{space 1}    4.41{col 46}{space 3}0.000{col 54}{space 4} .0320463{col 67}{space 3} .0864824
{txt}{space 9}15  {c |}{col 14}{res}{space 2}-.1172888{col 26}{space 2} .0083116{col 37}{space 1}  -14.11{col 46}{space 3}0.000{col 54}{space 4}-.1341297{col 67}{space 3}-.1004479
{txt}{space 9}16  {c |}{col 14}{res}{space 2}-.0025707{col 26}{space 2} .0315015{col 37}{space 1}   -0.08{col 46}{space 3}0.935{col 54}{space 4}-.0663988{col 67}{space 3} .0612573
{txt}{space 9}17  {c |}{col 14}{res}{space 2} .0353544{col 26}{space 2} .0112803{col 37}{space 1}    3.13{col 46}{space 3}0.003{col 54}{space 4} .0124984{col 67}{space 3} .0582104
{txt}{space 9}19  {c |}{col 14}{res}{space 2}-.0458643{col 26}{space 2} .0293014{col 37}{space 1}   -1.57{col 46}{space 3}0.126{col 54}{space 4}-.1052345{col 67}{space 3} .0135059
{txt}{space 9}21  {c |}{col 14}{res}{space 2} .0020313{col 26}{space 2} .0048175{col 37}{space 1}    0.42{col 46}{space 3}0.676{col 54}{space 4}-.0077299{col 67}{space 3} .0117925
{txt}{space 9}22  {c |}{col 14}{res}{space 2}-.0225929{col 26}{space 2}  .012644{col 37}{space 1}   -1.79{col 46}{space 3}0.082{col 54}{space 4}-.0482121{col 67}{space 3} .0030263
{txt}{space 9}24  {c |}{col 14}{res}{space 2}-.1205672{col 26}{space 2} .0164886{col 37}{space 1}   -7.31{col 46}{space 3}0.000{col 54}{space 4}-.1539762{col 67}{space 3}-.0871581
{txt}{space 9}26  {c |}{col 14}{res}{space 2}-.0757889{col 26}{space 2}  .024744{col 37}{space 1}   -3.06{col 46}{space 3}0.004{col 54}{space 4} -.125925{col 67}{space 3}-.0256529
{txt}{space 9}28  {c |}{col 14}{res}{space 2}-.0528139{col 26}{space 2} .0124718{col 37}{space 1}   -4.23{col 46}{space 3}0.000{col 54}{space 4}-.0780841{col 67}{space 3}-.0275437
{txt}{space 9}30  {c |}{col 14}{res}{space 2}-.0391065{col 26}{space 2} .0108127{col 37}{space 1}   -3.62{col 46}{space 3}0.001{col 54}{space 4}-.0610152{col 67}{space 3}-.0171978
{txt}{space 9}31  {c |}{col 14}{res}{space 2}-.1102107{col 26}{space 2} .0830087{col 37}{space 1}   -1.33{col 46}{space 3}0.192{col 54}{space 4}-.2784023{col 67}{space 3} .0579809
{txt}{space 9}32  {c |}{col 14}{res}{space 2} .0210772{col 26}{space 2} .0143035{col 37}{space 1}    1.47{col 46}{space 3}0.149{col 54}{space 4}-.0079043{col 67}{space 3} .0500588
{txt}{space 9}33  {c |}{col 14}{res}{space 2}-.0622724{col 26}{space 2} .0322713{col 37}{space 1}   -1.93{col 46}{space 3}0.061{col 54}{space 4}-.1276602{col 67}{space 3} .0031154
{txt}{space 9}34  {c |}{col 14}{res}{space 2}-.0321604{col 26}{space 2} .0169196{col 37}{space 1}   -1.90{col 46}{space 3}0.065{col 54}{space 4}-.0664428{col 67}{space 3}  .002122
{txt}{space 9}35  {c |}{col 14}{res}{space 2}-.0021324{col 26}{space 2} .0323994{col 37}{space 1}   -0.07{col 46}{space 3}0.948{col 54}{space 4}-.0677799{col 67}{space 3}  .063515
{txt}{space 9}36  {c |}{col 14}{res}{space 2}-.0419519{col 26}{space 2} .0184143{col 37}{space 1}   -2.28{col 46}{space 3}0.029{col 54}{space 4}-.0792627{col 67}{space 3} -.004641
{txt}{space 9}37  {c |}{col 14}{res}{space 2}-.0563029{col 26}{space 2}  .022782{col 37}{space 1}   -2.47{col 46}{space 3}0.018{col 54}{space 4}-.1024635{col 67}{space 3}-.0101423
{txt}{space 9}38  {c |}{col 14}{res}{space 2}-.0078173{col 26}{space 2} .0294817{col 37}{space 1}   -0.27{col 46}{space 3}0.792{col 54}{space 4}-.0675528{col 67}{space 3} .0519183
{txt}{space 9}39  {c |}{col 14}{res}{space 2}-.1151337{col 26}{space 2} .0295598{col 37}{space 1}   -3.89{col 46}{space 3}0.000{col 54}{space 4}-.1750275{col 67}{space 3}-.0552399
{txt}{space 9}40  {c |}{col 14}{res}{space 2}-.0619814{col 26}{space 2} .0284539{col 37}{space 1}   -2.18{col 46}{space 3}0.036{col 54}{space 4}-.1196344{col 67}{space 3}-.0043284
{txt}{space 9}41  {c |}{col 14}{res}{space 2}-.0308363{col 26}{space 2} .0314534{col 37}{space 1}   -0.98{col 46}{space 3}0.333{col 54}{space 4}-.0945669{col 67}{space 3} .0328943
{txt}{space 9}42  {c |}{col 14}{res}{space 2}-.1169874{col 26}{space 2} .0226938{col 37}{space 1}   -5.16{col 46}{space 3}0.000{col 54}{space 4}-.1629694{col 67}{space 3}-.0710055
{txt}{space 9}43  {c |}{col 14}{res}{space 2}-.0335332{col 26}{space 2} .0210277{col 37}{space 1}   -1.59{col 46}{space 3}0.119{col 54}{space 4}-.0761395{col 67}{space 3}  .009073
{txt}{space 9}44  {c |}{col 14}{res}{space 2}-.0444296{col 26}{space 2}  .028755{col 37}{space 1}   -1.55{col 46}{space 3}0.131{col 54}{space 4}-.1026928{col 67}{space 3} .0138336
{txt}{space 9}45  {c |}{col 14}{res}{space 2}-.1419137{col 26}{space 2} .0170832{col 37}{space 1}   -8.31{col 46}{space 3}0.000{col 54}{space 4}-.1765276{col 67}{space 3}-.1072999
{txt}{space 9}46  {c |}{col 14}{res}{space 2}-.1186287{col 26}{space 2} .0260741{col 37}{space 1}   -4.55{col 46}{space 3}0.000{col 54}{space 4}  -.17146{col 67}{space 3}-.0657975
{txt}{space 9}47  {c |}{col 14}{res}{space 2}-.1467188{col 26}{space 2} .0266007{col 37}{space 1}   -5.52{col 46}{space 3}0.000{col 54}{space 4} -.200617{col 67}{space 3}-.0928207
{txt}{space 9}50  {c |}{col 14}{res}{space 2}-.0257117{col 26}{space 2} .0181819{col 37}{space 1}   -1.41{col 46}{space 3}0.166{col 54}{space 4}-.0625518{col 67}{space 3} .0111283
{txt}{space 9}51  {c |}{col 14}{res}{space 2} .5014932{col 26}{space 2} .1397762{col 37}{space 1}    3.59{col 46}{space 3}0.001{col 54}{space 4} .2182797{col 67}{space 3} .7847067
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 1.818342{col 26}{space 2} .1363193{col 37}{space 1}   13.34{col 46}{space 3}0.000{col 54}{space 4} 1.542133{col 67}{space 3} 2.094552
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. predict n if e(sample)==1
{txt}(option {bf:xb} assumed; fitted values)
(11,633 missing values generated)

{com}. 
. estpost summarize ENP_cst logdist vv1million popmillion if n<10000

{txt}{space 0}{space 0}{ralign 12:}{space 1}{c |}{space 1}{ralign 9:e(count)}{space 1}{space 1}{ralign 9:e(sum_w)}{space 1}{space 1}{ralign 9:e(mean)}{space 1}{space 1}{ralign 9:e(Var)}{space 1}{space 1}{ralign 9:e(sd)}{space 1}{space 1}{ralign 9:e(min)}{space 1}{space 1}{ralign 9:e(max)}{space 1}{space 1}{ralign 9:e(sum)}{space 1}
{space 0}{hline 13}{c   +}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}
{space 0}{space 0}{ralign 12:ENP_cst}{space 1}{c |}{space 1}{ralign 9:{res:{sf:    24631}}}{space 1}{space 1}{ralign 9:{res:{sf:    24631}}}{space 1}{space 1}{ralign 9:{res:{sf: 1.972139}}}{space 1}{space 1}{ralign 9:{res:{sf: .1076368}}}{space 1}{space 1}{ralign 9:{res:{sf: .3280805}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf: 4.737533}}}{space 1}{space 1}{ralign 9:{res:{sf: 48575.75}}}{space 1}
{space 0}{space 0}{ralign 12:logdist}{space 1}{c |}{space 1}{ralign 9:{res:{sf:    24631}}}{space 1}{space 1}{ralign 9:{res:{sf:    24631}}}{space 1}{space 1}{ralign 9:{res:{sf: 6.608136}}}{space 1}{space 1}{ralign 9:{res:{sf: .9069064}}}{space 1}{space 1}{ralign 9:{res:{sf: .9523163}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf: 8.278926}}}{space 1}{space 1}{ralign 9:{res:{sf:   162765}}}{space 1}
{space 0}{space 0}{ralign 12:vv1million}{space 1}{c |}{space 1}{ralign 9:{res:{sf:    24631}}}{space 1}{space 1}{ralign 9:{res:{sf:    24631}}}{space 1}{space 1}{ralign 9:{res:{sf: .1204243}}}{space 1}{space 1}{ralign 9:{res:{sf: .0787584}}}{space 1}{space 1}{ralign 9:{res:{sf: .2806393}}}{space 1}{space 1}{ralign 9:{res:{sf:  .001155}}}{space 1}{space 1}{ralign 9:{res:{sf: 20.76723}}}{space 1}{space 1}{ralign 9:{res:{sf:  2966.17}}}{space 1}
{space 0}{space 0}{ralign 12:popmillion}{space 1}{c |}{space 1}{ralign 9:{res:{sf:    24631}}}{space 1}{space 1}{ralign 9:{res:{sf:    24631}}}{space 1}{space 1}{ralign 9:{res:{sf: 6.426023}}}{space 1}{space 1}{ralign 9:{res:{sf: 46.86357}}}{space 1}{space 1}{ralign 9:{res:{sf: 6.845697}}}{space 1}{space 1}{ralign 9:{res:{sf:  .042335}}}{space 1}{space 1}{ralign 9:{res:{sf: 37.25396}}}{space 1}{space 1}{ralign 9:{res:{sf: 158279.4}}}{space 1}

{com}. 
. esttab using "table1non-south.rtf", replace cells("count(fmt(a2)) mean sd min max") label
{res}{txt}(output written to {browse  `"table1non-south.rtf"'})

{com}. 
. 
. 
. *Figure 1

. 
. lowess ENP_nat yr, xlabel(1850(50)2000) ytitle("ENP_nat") title("") name(a3)
{res}
{com}. 
. lowess ENP_cst yr if ENP_cst<3, xlabel(1850(50)2000) ytitle("ENP_cst") title("Entire US") name(a1)
{res}
{com}. 
. lowess ENP_cst yr if ENP_cst<3 & south==0, xlabel(1850(50)2000) ytitle("ENP_cst") title("Non-South") name(a2)
{res}
{com}. 
. graph combine a3 a1 a2, holes(2) title("") saving("Figure1_Nationalization_United_States")
{res}{txt}file {bf:Figure1_Nationalization_United_States.gph} saved

{com}. 
. 
. 
. *Figure 2

. 
. lowess ENP_cst yr if ENP_cst<3, ytitle("ENP_cst") title("") by(timezones) saving("Figure2_Nationalization_and_Distance")
{res}{txt}file {bf:Figure2_Nationalization_and_Distance.gph} saved

{com}. 
. 
. 
. *Figure 3 

. 
. reg ENP_cst c.logdis   vv1million   popmillion i.dummies if yr<1850&dummies!=48&dummies!=49, cluster(dummies)

{txt}Linear regression                               Number of obs     = {res}     1,390
                                                {txt}{help j_robustsingular:F(2, 25) }         =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.1790
                                                {txt}Root MSE          =    {res} .29548

{txt}{ralign 78:(Std. err. adjusted for {res:26} clusters in {res:dummies})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     ENP_cst{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}logdist {c |}{col 14}{res}{space 2} .0177318{col 26}{space 2} .0303154{col 37}{space 1}    0.58{col 46}{space 3}0.564{col 54}{space 4} -.044704{col 67}{space 3} .0801675
{txt}{space 2}vv1million {c |}{col 14}{res}{space 2} .3247369{col 26}{space 2} .1635215{col 37}{space 1}    1.99{col 46}{space 3}0.058{col 54}{space 4}-.0120419{col 67}{space 3} .6615156
{txt}{space 2}popmillion {c |}{col 14}{res}{space 2} .2282388{col 26}{space 2} .0440683{col 37}{space 1}    5.18{col 46}{space 3}0.000{col 54}{space 4} .1374784{col 67}{space 3} .3189992
{txt}{space 12} {c |}
{space 5}dummies {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.5546582{col 26}{space 2} .0636656{col 37}{space 1}   -8.71{col 46}{space 3}0.000{col 54}{space 4}-.6857799{col 67}{space 3}-.4235364
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.4421514{col 26}{space 2} .0142272{col 37}{space 1}  -31.08{col 46}{space 3}0.000{col 54}{space 4}-.4714528{col 67}{space 3}  -.41285
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.1863112{col 26}{space 2} .0495207{col 37}{space 1}   -3.76{col 46}{space 3}0.001{col 54}{space 4}-.2883011{col 67}{space 3}-.0843214
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.4393026{col 26}{space 2} .0227631{col 37}{space 1}  -19.30{col 46}{space 3}0.000{col 54}{space 4}-.4861841{col 67}{space 3} -.392421
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.3382109{col 26}{space 2} .0741831{col 37}{space 1}   -4.56{col 46}{space 3}0.000{col 54}{space 4}-.4909938{col 67}{space 3}-.1854279
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.2978268{col 26}{space 2} .0329291{col 37}{space 1}   -9.04{col 46}{space 3}0.000{col 54}{space 4}-.3656455{col 67}{space 3}-.2300081
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.5805633{col 26}{space 2} .0869511{col 37}{space 1}   -6.68{col 46}{space 3}0.000{col 54}{space 4}-.7596425{col 67}{space 3}-.4014842
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.5064167{col 26}{space 2} .0600711{col 37}{space 1}   -8.43{col 46}{space 3}0.000{col 54}{space 4}-.6301354{col 67}{space 3} -.382698
{txt}{space 9}10  {c |}{col 14}{res}{space 2}-.6357167{col 26}{space 2} .0245574{col 37}{space 1}  -25.89{col 46}{space 3}0.000{col 54}{space 4}-.6862937{col 67}{space 3}-.5851398
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.3834005{col 26}{space 2} .0109398{col 37}{space 1}  -35.05{col 46}{space 3}0.000{col 54}{space 4}-.4059313{col 67}{space 3}-.3608696
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.0824538{col 26}{space 2}  .004535{col 37}{space 1}  -18.18{col 46}{space 3}0.000{col 54}{space 4}-.0917938{col 67}{space 3}-.0731138
{txt}{space 9}13  {c |}{col 14}{res}{space 2}-.2040621{col 26}{space 2} .0125133{col 37}{space 1}  -16.31{col 46}{space 3}0.000{col 54}{space 4}-.2298338{col 67}{space 3}-.1782903
{txt}{space 9}14  {c |}{col 14}{res}{space 2}-.5433649{col 26}{space 2} .0239139{col 37}{space 1}  -22.72{col 46}{space 3}0.000{col 54}{space 4}-.5926165{col 67}{space 3}-.4941132
{txt}{space 9}15  {c |}{col 14}{res}{space 2}-.5307189{col 26}{space 2} .0214605{col 37}{space 1}  -24.73{col 46}{space 3}0.000{col 54}{space 4}-.5749176{col 67}{space 3}-.4865201
{txt}{space 9}16  {c |}{col 14}{res}{space 2}-.4872551{col 26}{space 2} .0459153{col 37}{space 1}  -10.61{col 46}{space 3}0.000{col 54}{space 4}-.5818195{col 67}{space 3}-.3926908
{txt}{space 9}17  {c |}{col 14}{res}{space 2} -.359039{col 26}{space 2} .0146911{col 37}{space 1}  -24.44{col 46}{space 3}0.000{col 54}{space 4}-.3892959{col 67}{space 3} -.328782
{txt}{space 9}18  {c |}{col 14}{res}{space 2}-.3363497{col 26}{space 2} .0209078{col 37}{space 1}  -16.09{col 46}{space 3}0.000{col 54}{space 4}-.3794102{col 67}{space 3}-.2932892
{txt}{space 9}19  {c |}{col 14}{res}{space 2}-.3838551{col 26}{space 2} .0125926{col 37}{space 1}  -30.48{col 46}{space 3}0.000{col 54}{space 4}  -.40979{col 67}{space 3}-.3579202
{txt}{space 9}20  {c |}{col 14}{res}{space 2}-.5899882{col 26}{space 2} .0186169{col 37}{space 1}  -31.69{col 46}{space 3}0.000{col 54}{space 4}-.6283304{col 67}{space 3} -.551646
{txt}{space 9}21  {c |}{col 14}{res}{space 2}-.0845385{col 26}{space 2} .0125045{col 37}{space 1}   -6.76{col 46}{space 3}0.000{col 54}{space 4} -.110292{col 67}{space 3} -.058785
{txt}{space 9}22  {c |}{col 14}{res}{space 2}-.2547315{col 26}{space 2} .0195757{col 37}{space 1}  -13.01{col 46}{space 3}0.000{col 54}{space 4}-.2950485{col 67}{space 3}-.2144145
{txt}{space 9}23  {c |}{col 14}{res}{space 2}-.2248732{col 26}{space 2} .0267944{col 37}{space 1}   -8.39{col 46}{space 3}0.000{col 54}{space 4}-.2800572{col 67}{space 3}-.1696892
{txt}{space 9}24  {c |}{col 14}{res}{space 2}  -.22871{col 26}{space 2} .0184532{col 37}{space 1}  -12.39{col 46}{space 3}0.000{col 54}{space 4} -.266715{col 67}{space 3}-.1907049
{txt}{space 9}25  {c |}{col 14}{res}{space 2} -.213732{col 26}{space 2} .0226046{col 37}{space 1}   -9.46{col 46}{space 3}0.000{col 54}{space 4} -.260287{col 67}{space 3} -.167177
{txt}{space 9}26  {c |}{col 14}{res}{space 2}-.0172406{col 26}{space 2} .0103854{col 37}{space 1}   -1.66{col 46}{space 3}0.109{col 54}{space 4}-.0386298{col 67}{space 3} .0041486
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 2.075051{col 26}{space 2} .1988361{col 37}{space 1}   10.44{col 46}{space 3}0.000{col 54}{space 4}  1.66554{col 67}{space 3} 2.484561
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store c

. 
. reg ENP_cst c.logdis   vv1million    popmillion i.dummies if yr<1875&dummies!=48&dummies!=49, cluster(dummies)

{txt}Linear regression                               Number of obs     = {res}     4,289
                                                {txt}{help j_robustsingular:F(2, 36) }         =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.1314
                                                {txt}Root MSE          =    {res}  .3017

{txt}{ralign 78:(Std. err. adjusted for {res:37} clusters in {res:dummies})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     ENP_cst{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}logdist {c |}{col 14}{res}{space 2} .0092935{col 26}{space 2} .0135295{col 37}{space 1}    0.69{col 46}{space 3}0.497{col 54}{space 4}-.0181456{col 67}{space 3} .0367325
{txt}{space 2}vv1million {c |}{col 14}{res}{space 2} .2762245{col 26}{space 2} .1551086{col 37}{space 1}    1.78{col 46}{space 3}0.083{col 54}{space 4}-.0383502{col 67}{space 3} .5907993
{txt}{space 2}popmillion {c |}{col 14}{res}{space 2} -.043877{col 26}{space 2} .0198647{col 37}{space 1}   -2.21{col 46}{space 3}0.034{col 54}{space 4}-.0841645{col 67}{space 3}-.0035895
{txt}{space 12} {c |}
{space 5}dummies {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0241473{col 26}{space 2} .0424421{col 37}{space 1}    0.57{col 46}{space 3}0.573{col 54}{space 4}-.0619292{col 67}{space 3} .1102239
{txt}{space 10}3  {c |}{col 14}{res}{space 2} -.231211{col 26}{space 2} .0068541{col 37}{space 1}  -33.73{col 46}{space 3}0.000{col 54}{space 4}-.2451118{col 67}{space 3}-.2173102
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.0396036{col 26}{space 2} .0230696{col 37}{space 1}   -1.72{col 46}{space 3}0.095{col 54}{space 4}-.0863909{col 67}{space 3} .0071838
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.1362734{col 26}{space 2} .0130267{col 37}{space 1}  -10.46{col 46}{space 3}0.000{col 54}{space 4}-.1626928{col 67}{space 3} -.109854
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.1245203{col 26}{space 2} .0333841{col 37}{space 1}   -3.73{col 46}{space 3}0.001{col 54}{space 4}-.1922263{col 67}{space 3}-.0568143
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.0216215{col 26}{space 2} .0135095{col 37}{space 1}   -1.60{col 46}{space 3}0.118{col 54}{space 4}-.0490201{col 67}{space 3} .0057771
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .1678657{col 26}{space 2} .0553227{col 37}{space 1}    3.03{col 46}{space 3}0.004{col 54}{space 4}  .055666{col 67}{space 3} .2800654
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.0626826{col 26}{space 2} .0271593{col 37}{space 1}   -2.31{col 46}{space 3}0.027{col 54}{space 4}-.1177641{col 67}{space 3} -.007601
{txt}{space 9}10  {c |}{col 14}{res}{space 2}-.3221889{col 26}{space 2} .0128088{col 37}{space 1}  -25.15{col 46}{space 3}0.000{col 54}{space 4}-.3481664{col 67}{space 3}-.2962115
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.2313131{col 26}{space 2} .0050894{col 37}{space 1}  -45.45{col 46}{space 3}0.000{col 54}{space 4}-.2416348{col 67}{space 3}-.2209913
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.0834454{col 26}{space 2} .0024234{col 37}{space 1}  -34.43{col 46}{space 3}0.000{col 54}{space 4}-.0883602{col 67}{space 3}-.0785305
{txt}{space 9}13  {c |}{col 14}{res}{space 2}-.0177334{col 26}{space 2} .0056928{col 37}{space 1}   -3.12{col 46}{space 3}0.004{col 54}{space 4}-.0292789{col 67}{space 3}-.0061879
{txt}{space 9}14  {c |}{col 14}{res}{space 2}-.2092524{col 26}{space 2} .0143394{col 37}{space 1}  -14.59{col 46}{space 3}0.000{col 54}{space 4} -.238334{col 67}{space 3}-.1801708
{txt}{space 9}15  {c |}{col 14}{res}{space 2}-.2100951{col 26}{space 2} .0146511{col 37}{space 1}  -14.34{col 46}{space 3}0.000{col 54}{space 4}-.2398088{col 67}{space 3}-.1803813
{txt}{space 9}16  {c |}{col 14}{res}{space 2} .0207758{col 26}{space 2} .0315302{col 37}{space 1}    0.66{col 46}{space 3}0.514{col 54}{space 4}-.0431704{col 67}{space 3} .0847221
{txt}{space 9}17  {c |}{col 14}{res}{space 2}-.0422208{col 26}{space 2} .0155453{col 37}{space 1}   -2.72{col 46}{space 3}0.010{col 54}{space 4}-.0737481{col 67}{space 3}-.0106936
{txt}{space 9}18  {c |}{col 14}{res}{space 2}-.2631423{col 26}{space 2} .0117702{col 37}{space 1}  -22.36{col 46}{space 3}0.000{col 54}{space 4}-.2870133{col 67}{space 3}-.2392712
{txt}{space 9}19  {c |}{col 14}{res}{space 2}-.0617366{col 26}{space 2} .0244147{col 37}{space 1}   -2.53{col 46}{space 3}0.016{col 54}{space 4}-.1112518{col 67}{space 3}-.0122213
{txt}{space 9}20  {c |}{col 14}{res}{space 2}-.2975653{col 26}{space 2} .0123802{col 37}{space 1}  -24.04{col 46}{space 3}0.000{col 54}{space 4}-.3226735{col 67}{space 3}-.2724572
{txt}{space 9}21  {c |}{col 14}{res}{space 2} .0462799{col 26}{space 2} .0065837{col 37}{space 1}    7.03{col 46}{space 3}0.000{col 54}{space 4} .0329277{col 67}{space 3} .0596322
{txt}{space 9}22  {c |}{col 14}{res}{space 2} .0342508{col 26}{space 2} .0190572{col 37}{space 1}    1.80{col 46}{space 3}0.081{col 54}{space 4}-.0043991{col 67}{space 3} .0729006
{txt}{space 9}23  {c |}{col 14}{res}{space 2}-.1512345{col 26}{space 2} .0129503{col 37}{space 1}  -11.68{col 46}{space 3}0.000{col 54}{space 4} -.177499{col 67}{space 3}-.1249701
{txt}{space 9}24  {c |}{col 14}{res}{space 2}-.0152871{col 26}{space 2}  .014071{col 37}{space 1}   -1.09{col 46}{space 3}0.285{col 54}{space 4}-.0438244{col 67}{space 3} .0132502
{txt}{space 9}25  {c |}{col 14}{res}{space 2}-.3294475{col 26}{space 2}  .009876{col 37}{space 1}  -33.36{col 46}{space 3}0.000{col 54}{space 4}-.3494771{col 67}{space 3} -.309418
{txt}{space 9}26  {c |}{col 14}{res}{space 2}-.0251997{col 26}{space 2} .0092065{col 37}{space 1}   -2.74{col 46}{space 3}0.010{col 54}{space 4}-.0438712{col 67}{space 3}-.0065281
{txt}{space 9}27  {c |}{col 14}{res}{space 2}-.0903643{col 26}{space 2} .0085419{col 37}{space 1}  -10.58{col 46}{space 3}0.000{col 54}{space 4}-.1076881{col 67}{space 3}-.0730406
{txt}{space 9}28  {c |}{col 14}{res}{space 2}-.1248395{col 26}{space 2} .0149213{col 37}{space 1}   -8.37{col 46}{space 3}0.000{col 54}{space 4}-.1551013{col 67}{space 3}-.0945777
{txt}{space 9}29  {c |}{col 14}{res}{space 2}   -.4884{col 26}{space 2} .0155409{col 37}{space 1}  -31.43{col 46}{space 3}0.000{col 54}{space 4}-.5199185{col 67}{space 3}-.4568815
{txt}{space 9}30  {c |}{col 14}{res}{space 2}-.0796965{col 26}{space 2}  .012175{col 37}{space 1}   -6.55{col 46}{space 3}0.000{col 54}{space 4}-.1043886{col 67}{space 3}-.0550044
{txt}{space 9}31  {c |}{col 14}{res}{space 2} .0223849{col 26}{space 2} .0283225{col 37}{space 1}    0.79{col 46}{space 3}0.434{col 54}{space 4}-.0350559{col 67}{space 3} .0798256
{txt}{space 9}32  {c |}{col 14}{res}{space 2}-.0730016{col 26}{space 2} .0110786{col 37}{space 1}   -6.59{col 46}{space 3}0.000{col 54}{space 4}-.0954701{col 67}{space 3}-.0505331
{txt}{space 9}33  {c |}{col 14}{res}{space 2} .0018627{col 26}{space 2} .0220369{col 37}{space 1}    0.08{col 46}{space 3}0.933{col 54}{space 4}-.0428302{col 67}{space 3} .0465555
{txt}{space 9}34  {c |}{col 14}{res}{space 2}-.1501129{col 26}{space 2} .0195556{col 37}{space 1}   -7.68{col 46}{space 3}0.000{col 54}{space 4}-.1897735{col 67}{space 3}-.1104522
{txt}{space 9}35  {c |}{col 14}{res}{space 2}-.0846465{col 26}{space 2} .0208238{col 37}{space 1}   -4.06{col 46}{space 3}0.000{col 54}{space 4}-.1268791{col 67}{space 3}-.0424138
{txt}{space 9}36  {c |}{col 14}{res}{space 2}-.0856579{col 26}{space 2} .0145547{col 37}{space 1}   -5.89{col 46}{space 3}0.000{col 54}{space 4}-.1151762{col 67}{space 3}-.0561397
{txt}{space 9}50  {c |}{col 14}{res}{space 2}-.3299637{col 26}{space 2} .0109464{col 37}{space 1}  -30.14{col 46}{space 3}0.000{col 54}{space 4} -.352164{col 67}{space 3}-.3077634
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 2.002419{col 26}{space 2} .0910168{col 37}{space 1}   22.00{col 46}{space 3}0.000{col 54}{space 4} 1.817829{col 67}{space 3}  2.18701
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store d

. 
. reg ENP_cst c.logdis   vv1million    popmillion i.dummies if yr<1900&dummies!=48&dummies!=49, cluster(dummies)

{txt}Linear regression                               Number of obs     = {res}     8,188
                                                {txt}{help j_robustsingular:F(2, 43) }         =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.1541
                                                {txt}Root MSE          =    {res} .30232

{txt}{ralign 78:(Std. err. adjusted for {res:44} clusters in {res:dummies})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     ENP_cst{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}logdist {c |}{col 14}{res}{space 2} .0357215{col 26}{space 2}  .009813{col 37}{space 1}    3.64{col 46}{space 3}0.001{col 54}{space 4} .0159317{col 67}{space 3} .0555114
{txt}{space 2}vv1million {c |}{col 14}{res}{space 2} .1719325{col 26}{space 2} .1090058{col 37}{space 1}    1.58{col 46}{space 3}0.122{col 54}{space 4}-.0478988{col 67}{space 3} .3917637
{txt}{space 2}popmillion {c |}{col 14}{res}{space 2} .0147917{col 26}{space 2} .0195193{col 37}{space 1}    0.76{col 46}{space 3}0.453{col 54}{space 4}-.0245727{col 67}{space 3} .0541561
{txt}{space 12} {c |}
{space 5}dummies {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0646929{col 26}{space 2} .0561732{col 37}{space 1}   -1.15{col 46}{space 3}0.256{col 54}{space 4}-.1779771{col 67}{space 3} .0485912
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.4619656{col 26}{space 2} .0111123{col 37}{space 1}  -41.57{col 46}{space 3}0.000{col 54}{space 4}-.4843758{col 67}{space 3}-.4395555
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0214596{col 26}{space 2}  .017162{col 37}{space 1}    1.25{col 46}{space 3}0.218{col 54}{space 4}-.0131508{col 67}{space 3}   .05607
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.3059123{col 26}{space 2} .0199299{col 37}{space 1}  -15.35{col 46}{space 3}0.000{col 54}{space 4}-.3461048{col 67}{space 3}-.2657198
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.0225516{col 26}{space 2} .0218731{col 37}{space 1}   -1.03{col 46}{space 3}0.308{col 54}{space 4}-.0666629{col 67}{space 3} .0215598
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .0485328{col 26}{space 2}  .012704{col 37}{space 1}    3.82{col 46}{space 3}0.000{col 54}{space 4} .0229127{col 67}{space 3} .0741528
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.0175769{col 26}{space 2} .0691786{col 37}{space 1}   -0.25{col 46}{space 3}0.801{col 54}{space 4}-.1570888{col 67}{space 3}  .121935
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.0788754{col 26}{space 2} .0206541{col 37}{space 1}   -3.82{col 46}{space 3}0.000{col 54}{space 4}-.1205284{col 67}{space 3}-.0372225
{txt}{space 9}10  {c |}{col 14}{res}{space 2} -.220661{col 26}{space 2} .0137961{col 37}{space 1}  -15.99{col 46}{space 3}0.000{col 54}{space 4}-.2484834{col 67}{space 3}-.1928385
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.1583101{col 26}{space 2} .0034885{col 37}{space 1}  -45.38{col 46}{space 3}0.000{col 54}{space 4}-.1653454{col 67}{space 3}-.1512748
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.1518967{col 26}{space 2} .0013859{col 37}{space 1} -109.60{col 46}{space 3}0.000{col 54}{space 4}-.1546917{col 67}{space 3}-.1491017
{txt}{space 9}13  {c |}{col 14}{res}{space 2} .0022376{col 26}{space 2} .0039352{col 37}{space 1}    0.57{col 46}{space 3}0.573{col 54}{space 4}-.0056985{col 67}{space 3} .0101738
{txt}{space 9}14  {c |}{col 14}{res}{space 2}-.2210369{col 26}{space 2} .0183648{col 37}{space 1}  -12.04{col 46}{space 3}0.000{col 54}{space 4}-.2580731{col 67}{space 3}-.1840008
{txt}{space 9}15  {c |}{col 14}{res}{space 2} -.176489{col 26}{space 2} .0190374{col 37}{space 1}   -9.27{col 46}{space 3}0.000{col 54}{space 4}-.2148816{col 67}{space 3}-.1380963
{txt}{space 9}16  {c |}{col 14}{res}{space 2}-.0437687{col 26}{space 2} .0400601{col 37}{space 1}   -1.09{col 46}{space 3}0.281{col 54}{space 4}-.1245576{col 67}{space 3} .0370203
{txt}{space 9}17  {c |}{col 14}{res}{space 2}-.0399979{col 26}{space 2} .0228934{col 37}{space 1}   -1.75{col 46}{space 3}0.088{col 54}{space 4}-.0861668{col 67}{space 3} .0061711
{txt}{space 9}18  {c |}{col 14}{res}{space 2}-.4089384{col 26}{space 2} .0165554{col 37}{space 1}  -24.70{col 46}{space 3}0.000{col 54}{space 4}-.4423255{col 67}{space 3}-.3755512
{txt}{space 9}19  {c |}{col 14}{res}{space 2}-.0588458{col 26}{space 2} .0436922{col 37}{space 1}   -1.35{col 46}{space 3}0.185{col 54}{space 4}-.1469596{col 67}{space 3}  .029268
{txt}{space 9}20  {c |}{col 14}{res}{space 2}-.3337381{col 26}{space 2} .0163639{col 37}{space 1}  -20.39{col 46}{space 3}0.000{col 54}{space 4} -.366739{col 67}{space 3}-.3007372
{txt}{space 9}21  {c |}{col 14}{res}{space 2} .0124991{col 26}{space 2} .0064283{col 37}{space 1}    1.94{col 46}{space 3}0.058{col 54}{space 4}-.0004648{col 67}{space 3} .0254629
{txt}{space 9}22  {c |}{col 14}{res}{space 2}-.0070528{col 26}{space 2} .0319462{col 37}{space 1}   -0.22{col 46}{space 3}0.826{col 54}{space 4}-.0714785{col 67}{space 3}  .057373
{txt}{space 9}23  {c |}{col 14}{res}{space 2}-.3182004{col 26}{space 2} .0148031{col 37}{space 1}  -21.50{col 46}{space 3}0.000{col 54}{space 4}-.3480536{col 67}{space 3}-.2883472
{txt}{space 9}24  {c |}{col 14}{res}{space 2}-.0446489{col 26}{space 2}   .01984{col 37}{space 1}   -2.25{col 46}{space 3}0.030{col 54}{space 4}  -.08466{col 67}{space 3}-.0046377
{txt}{space 9}25  {c |}{col 14}{res}{space 2}-.3394839{col 26}{space 2} .0127082{col 37}{space 1}  -26.71{col 46}{space 3}0.000{col 54}{space 4}-.3651124{col 67}{space 3}-.3138553
{txt}{space 9}26  {c |}{col 14}{res}{space 2} .0419852{col 26}{space 2} .0208644{col 37}{space 1}    2.01{col 46}{space 3}0.050{col 54}{space 4}-.0000919{col 67}{space 3} .0840624
{txt}{space 9}27  {c |}{col 14}{res}{space 2}-.2134986{col 26}{space 2} .0059056{col 37}{space 1}  -36.15{col 46}{space 3}0.000{col 54}{space 4}-.2254084{col 67}{space 3}-.2015888
{txt}{space 9}28  {c |}{col 14}{res}{space 2}-.0681444{col 26}{space 2} .0244133{col 37}{space 1}   -2.79{col 46}{space 3}0.008{col 54}{space 4}-.1173785{col 67}{space 3}-.0189103
{txt}{space 9}29  {c |}{col 14}{res}{space 2}-.3327572{col 26}{space 2} .0287079{col 37}{space 1}  -11.59{col 46}{space 3}0.000{col 54}{space 4}-.3906522{col 67}{space 3}-.2748621
{txt}{space 9}30  {c |}{col 14}{res}{space 2}-.0184872{col 26}{space 2} .0191526{col 37}{space 1}   -0.97{col 46}{space 3}0.340{col 54}{space 4}-.0571121{col 67}{space 3} .0201377
{txt}{space 9}31  {c |}{col 14}{res}{space 2} .1027046{col 26}{space 2} .0215614{col 37}{space 1}    4.76{col 46}{space 3}0.000{col 54}{space 4} .0592219{col 67}{space 3} .1461872
{txt}{space 9}32  {c |}{col 14}{res}{space 2} .0634256{col 26}{space 2} .0148908{col 37}{space 1}    4.26{col 46}{space 3}0.000{col 54}{space 4} .0333954{col 67}{space 3} .0934559
{txt}{space 9}33  {c |}{col 14}{res}{space 2}  .208448{col 26}{space 2} .0152698{col 37}{space 1}   13.65{col 46}{space 3}0.000{col 54}{space 4} .1776534{col 67}{space 3} .2392426
{txt}{space 9}34  {c |}{col 14}{res}{space 2} .0071841{col 26}{space 2} .0201139{col 37}{space 1}    0.36{col 46}{space 3}0.723{col 54}{space 4}-.0333794{col 67}{space 3} .0477476
{txt}{space 9}35  {c |}{col 14}{res}{space 2}-.1364319{col 26}{space 2} .0154385{col 37}{space 1}   -8.84{col 46}{space 3}0.000{col 54}{space 4}-.1675665{col 67}{space 3}-.1052972
{txt}{space 9}36  {c |}{col 14}{res}{space 2} .1540414{col 26}{space 2} .0148645{col 37}{space 1}   10.36{col 46}{space 3}0.000{col 54}{space 4} .1240644{col 67}{space 3} .1840184
{txt}{space 9}37  {c |}{col 14}{res}{space 2}-.1886195{col 26}{space 2} .0112261{col 37}{space 1}  -16.80{col 46}{space 3}0.000{col 54}{space 4}-.2112591{col 67}{space 3}-.1659799
{txt}{space 9}38  {c |}{col 14}{res}{space 2} .2589302{col 26}{space 2} .0122237{col 37}{space 1}   21.18{col 46}{space 3}0.000{col 54}{space 4} .2342788{col 67}{space 3} .2835817
{txt}{space 9}40  {c |}{col 14}{res}{space 2} .0184192{col 26}{space 2} .0127199{col 37}{space 1}    1.45{col 46}{space 3}0.155{col 54}{space 4}-.0072329{col 67}{space 3} .0440712
{txt}{space 9}41  {c |}{col 14}{res}{space 2} .5482502{col 26}{space 2} .0141757{col 37}{space 1}   38.68{col 46}{space 3}0.000{col 54}{space 4} .5196622{col 67}{space 3} .5768382
{txt}{space 9}42  {c |}{col 14}{res}{space 2} .0031764{col 26}{space 2} .0098562{col 37}{space 1}    0.32{col 46}{space 3}0.749{col 54}{space 4}-.0167006{col 67}{space 3} .0230533
{txt}{space 9}43  {c |}{col 14}{res}{space 2} .5310453{col 26}{space 2} .0126637{col 37}{space 1}   41.93{col 46}{space 3}0.000{col 54}{space 4} .5055066{col 67}{space 3}  .556584
{txt}{space 9}50  {c |}{col 14}{res}{space 2}-.0285937{col 26}{space 2} .0077974{col 37}{space 1}   -3.67{col 46}{space 3}0.001{col 54}{space 4}-.0443186{col 67}{space 3}-.0128688
{txt}{space 9}51  {c |}{col 14}{res}{space 2} .5175553{col 26}{space 2} .0704139{col 37}{space 1}    7.35{col 46}{space 3}0.000{col 54}{space 4} .3755522{col 67}{space 3} .6595584
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 1.818493{col 26}{space 2} .0653162{col 37}{space 1}   27.84{col 46}{space 3}0.000{col 54}{space 4}  1.68677{col 67}{space 3} 1.950216
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store e

. 
. reg ENP_cst c.logdis   vv1million   popmillion i.dummies if yr<1925&dummies!=48&dummies!=49, cluster(dummies)

{txt}Linear regression                               Number of obs     = {res}    13,159
                                                {txt}{help j_robustsingular:F(2, 48) }         =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.2270
                                                {txt}Root MSE          =    {res} .34457

{txt}{ralign 78:(Std. err. adjusted for {res:49} clusters in {res:dummies})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     ENP_cst{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}logdist {c |}{col 14}{res}{space 2} .0360228{col 26}{space 2} .0162466{col 37}{space 1}    2.22{col 46}{space 3}0.031{col 54}{space 4} .0033567{col 67}{space 3} .0686888
{txt}{space 2}vv1million {c |}{col 14}{res}{space 2} .1015821{col 26}{space 2} .0400645{col 37}{space 1}    2.54{col 46}{space 3}0.015{col 54}{space 4} .0210272{col 67}{space 3} .1821371
{txt}{space 2}popmillion {c |}{col 14}{res}{space 2} .0112285{col 26}{space 2} .0103609{col 37}{space 1}    1.08{col 46}{space 3}0.284{col 54}{space 4}-.0096035{col 67}{space 3} .0320604
{txt}{space 12} {c |}
{space 5}dummies {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0094968{col 26}{space 2} .0427288{col 37}{space 1}    0.22{col 46}{space 3}0.825{col 54}{space 4}-.0764152{col 67}{space 3} .0954088
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.6291221{col 26}{space 2}  .008001{col 37}{space 1}  -78.63{col 46}{space 3}0.000{col 54}{space 4}-.6452092{col 67}{space 3}-.6130351
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0775747{col 26}{space 2} .0266808{col 37}{space 1}    2.91{col 46}{space 3}0.006{col 54}{space 4} .0239293{col 67}{space 3}   .13122
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.4225753{col 26}{space 2} .0148571{col 37}{space 1}  -28.44{col 46}{space 3}0.000{col 54}{space 4}-.4524475{col 67}{space 3}-.3927031
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .0243983{col 26}{space 2} .0378471{col 37}{space 1}    0.64{col 46}{space 3}0.522{col 54}{space 4}-.0516983{col 67}{space 3} .1004949
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .0715317{col 26}{space 2} .0171476{col 37}{space 1}    4.17{col 46}{space 3}0.000{col 54}{space 4} .0370541{col 67}{space 3} .1060094
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .0220632{col 26}{space 2} .0514466{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4}-.0813771{col 67}{space 3} .1255034
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.1781007{col 26}{space 2} .0242352{col 37}{space 1}   -7.35{col 46}{space 3}0.000{col 54}{space 4}-.2268289{col 67}{space 3}-.1293725
{txt}{space 9}10  {c |}{col 14}{res}{space 2}-.2279135{col 26}{space 2} .0117873{col 37}{space 1}  -19.34{col 46}{space 3}0.000{col 54}{space 4}-.2516134{col 67}{space 3}-.2042136
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.0888263{col 26}{space 2} .0033336{col 37}{space 1}  -26.65{col 46}{space 3}0.000{col 54}{space 4} -.095529{col 67}{space 3}-.0821236
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.1720538{col 26}{space 2} .0020129{col 37}{space 1}  -85.48{col 46}{space 3}0.000{col 54}{space 4} -.176101{col 67}{space 3}-.1680066
{txt}{space 9}13  {c |}{col 14}{res}{space 2}  .043854{col 26}{space 2} .0064859{col 37}{space 1}    6.76{col 46}{space 3}0.000{col 54}{space 4} .0308132{col 67}{space 3} .0568948
{txt}{space 9}14  {c |}{col 14}{res}{space 2}-.2901138{col 26}{space 2} .0140273{col 37}{space 1}  -20.68{col 46}{space 3}0.000{col 54}{space 4}-.3183176{col 67}{space 3}  -.26191
{txt}{space 9}15  {c |}{col 14}{res}{space 2}-.1457523{col 26}{space 2} .0130947{col 37}{space 1}  -11.13{col 46}{space 3}0.000{col 54}{space 4}-.1720808{col 67}{space 3}-.1194237
{txt}{space 9}16  {c |}{col 14}{res}{space 2}-.0155544{col 26}{space 2} .0274353{col 37}{space 1}   -0.57{col 46}{space 3}0.573{col 54}{space 4}-.0707168{col 67}{space 3} .0396081
{txt}{space 9}17  {c |}{col 14}{res}{space 2} .0265546{col 26}{space 2}  .016341{col 37}{space 1}    1.63{col 46}{space 3}0.111{col 54}{space 4}-.0063013{col 67}{space 3} .0594104
{txt}{space 9}18  {c |}{col 14}{res}{space 2}-.5460685{col 26}{space 2} .0162953{col 37}{space 1}  -33.51{col 46}{space 3}0.000{col 54}{space 4}-.5788325{col 67}{space 3}-.5133046
{txt}{space 9}19  {c |}{col 14}{res}{space 2}-.0127467{col 26}{space 2} .0370554{col 37}{space 1}   -0.34{col 46}{space 3}0.732{col 54}{space 4}-.0872515{col 67}{space 3} .0617581
{txt}{space 9}20  {c |}{col 14}{res}{space 2}-.4272767{col 26}{space 2} .0153022{col 37}{space 1}  -27.92{col 46}{space 3}0.000{col 54}{space 4}-.4580438{col 67}{space 3}-.3965096
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{txt}{space 9}28  {c |}{col 14}{res}{space 2}-.0865674{col 26}{space 2} .0216699{col 37}{space 1}   -3.99{col 46}{space 3}0.000{col 54}{space 4}-.1301377{col 67}{space 3}-.0429971
{txt}{space 9}29  {c |}{col 14}{res}{space 2}-.5875588{col 26}{space 2} .0348685{col 37}{space 1}  -16.85{col 46}{space 3}0.000{col 54}{space 4}-.6576666{col 67}{space 3} -.517451
{txt}{space 9}30  {c |}{col 14}{res}{space 2}-.0226202{col 26}{space 2} .0183244{col 37}{space 1}   -1.23{col 46}{space 3}0.223{col 54}{space 4}-.0594639{col 67}{space 3} .0142235
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{txt}{space 9}41  {c |}{col 14}{res}{space 2} .2530164{col 26}{space 2} .0241942{col 37}{space 1}   10.46{col 46}{space 3}0.000{col 54}{space 4} .2043707{col 67}{space 3} .3016621
{txt}{space 9}42  {c |}{col 14}{res}{space 2}-.1479503{col 26}{space 2}  .018314{col 37}{space 1}   -8.08{col 46}{space 3}0.000{col 54}{space 4}-.1847732{col 67}{space 3}-.1111275
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{txt}{space 9}44  {c |}{col 14}{res}{space 2}  .142751{col 26}{space 2} .0233936{col 37}{space 1}    6.10{col 46}{space 3}0.000{col 54}{space 4}  .095715{col 67}{space 3} .1897869
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{txt}{space 9}47  {c |}{col 14}{res}{space 2}-.4307844{col 26}{space 2} .0240954{col 37}{space 1}  -17.88{col 46}{space 3}0.000{col 54}{space 4}-.4792315{col 67}{space 3}-.3823374
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{txt}{space 9}51  {c |}{col 14}{res}{space 2} .5717771{col 26}{space 2} .1080563{col 37}{space 1}    5.29{col 46}{space 3}0.000{col 54}{space 4} .3545153{col 67}{space 3}  .789039
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 1.812572{col 26}{space 2} .1070465{col 37}{space 1}   16.93{col 46}{space 3}0.000{col 54}{space 4}  1.59734{col 67}{space 3} 2.027803
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store f

. 
. reg ENP_cst c.logdis   vv1million    popmillion i.dummies if yr<1950&dummies!=48&dummies!=49, cluster(dummies)

{txt}Linear regression                               Number of obs     = {res}    17,740
                                                {txt}{help j_robustsingular:F(2, 48) }         =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.2400
                                                {txt}Root MSE          =    {res} .34281

{txt}{ralign 78:(Std. err. adjusted for {res:49} clusters in {res:dummies})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     ENP_cst{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}logdist {c |}{col 14}{res}{space 2} .0286313{col 26}{space 2} .0191869{col 37}{space 1}    1.49{col 46}{space 3}0.142{col 54}{space 4}-.0099467{col 67}{space 3} .0672092
{txt}{space 2}vv1million {c |}{col 14}{res}{space 2} .0262759{col 26}{space 2} .0126971{col 37}{space 1}    2.07{col 46}{space 3}0.044{col 54}{space 4} .0007467{col 67}{space 3} .0518051
{txt}{space 2}popmillion {c |}{col 14}{res}{space 2}-.0127377{col 26}{space 2} .0114952{col 37}{space 1}   -1.11{col 46}{space 3}0.273{col 54}{space 4}-.0358502{col 67}{space 3} .0103749
{txt}{space 12} {c |}
{space 5}dummies {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .1048954{col 26}{space 2} .0748398{col 37}{space 1}    1.40{col 46}{space 3}0.167{col 54}{space 4}-.0455801{col 67}{space 3} .2553708
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.6770975{col 26}{space 2} .0102289{col 37}{space 1}  -66.19{col 46}{space 3}0.000{col 54}{space 4}-.6976641{col 67}{space 3}-.6565309
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0707776{col 26}{space 2} .0298516{col 37}{space 1}    2.37{col 46}{space 3}0.022{col 54}{space 4}  .010757{col 67}{space 3} .1307983
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.4414087{col 26}{space 2}  .014891{col 37}{space 1}  -29.64{col 46}{space 3}0.000{col 54}{space 4} -.471349{col 67}{space 3}-.4114683
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .0204557{col 26}{space 2} .0499233{col 37}{space 1}    0.41{col 46}{space 3}0.684{col 54}{space 4}-.0799219{col 67}{space 3} .1208333
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{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.2066315{col 26}{space 2} .0385877{col 37}{space 1}   -5.35{col 46}{space 3}0.000{col 54}{space 4}-.2842172{col 67}{space 3}-.1290458
{txt}{space 9}10  {c |}{col 14}{res}{space 2} -.209259{col 26}{space 2} .0222964{col 37}{space 1}   -9.39{col 46}{space 3}0.000{col 54}{space 4} -.254089{col 67}{space 3}-.1644289
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.0693392{col 26}{space 2} .0041142{col 37}{space 1}  -16.85{col 46}{space 3}0.000{col 54}{space 4}-.0776113{col 67}{space 3}-.0610671
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{txt}{space 9}13  {c |}{col 14}{res}{space 2}  .074145{col 26}{space 2} .0117578{col 37}{space 1}    6.31{col 46}{space 3}0.000{col 54}{space 4} .0505043{col 67}{space 3} .0977856
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{txt}{space 9}20  {c |}{col 14}{res}{space 2}-.4205892{col 26}{space 2}  .013176{col 37}{space 1}  -31.92{col 46}{space 3}0.000{col 54}{space 4}-.4470813{col 67}{space 3}-.3940972
{txt}{space 9}21  {c |}{col 14}{res}{space 2} .0009062{col 26}{space 2} .0046523{col 37}{space 1}    0.19{col 46}{space 3}0.846{col 54}{space 4}-.0084479{col 67}{space 3} .0102604
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{txt}{space 9}23  {c |}{col 14}{res}{space 2}-.4970569{col 26}{space 2} .0153822{col 37}{space 1}  -32.31{col 46}{space 3}0.000{col 54}{space 4}-.5279848{col 67}{space 3} -.466129
{txt}{space 9}24  {c |}{col 14}{res}{space 2}-.0330962{col 26}{space 2} .0260398{col 37}{space 1}   -1.27{col 46}{space 3}0.210{col 54}{space 4}-.0854527{col 67}{space 3} .0192604
{txt}{space 9}25  {c |}{col 14}{res}{space 2} -.399548{col 26}{space 2} .0138731{col 37}{space 1}  -28.80{col 46}{space 3}0.000{col 54}{space 4}-.4274416{col 67}{space 3}-.3716543
{txt}{space 9}26  {c |}{col 14}{res}{space 2}-.0200826{col 26}{space 2} .0290121{col 37}{space 1}   -0.69{col 46}{space 3}0.492{col 54}{space 4}-.0784154{col 67}{space 3} .0382501
{txt}{space 9}27  {c |}{col 14}{res}{space 2}-.4861156{col 26}{space 2} .0096227{col 37}{space 1}  -50.52{col 46}{space 3}0.000{col 54}{space 4}-.5054633{col 67}{space 3}-.4667679
{txt}{space 9}28  {c |}{col 14}{res}{space 2}-.0497151{col 26}{space 2} .0182625{col 37}{space 1}   -2.72{col 46}{space 3}0.009{col 54}{space 4}-.0864343{col 67}{space 3}-.0129958
{txt}{space 9}29  {c |}{col 14}{res}{space 2}-.6104709{col 26}{space 2} .0363548{col 37}{space 1}  -16.79{col 46}{space 3}0.000{col 54}{space 4}-.6835672{col 67}{space 3}-.5373746
{txt}{space 9}30  {c |}{col 14}{res}{space 2} .0569806{col 26}{space 2} .0179618{col 37}{space 1}    3.17{col 46}{space 3}0.003{col 54}{space 4} .0208659{col 67}{space 3} .0930952
{txt}{space 9}31  {c |}{col 14}{res}{space 2}-.1944173{col 26}{space 2} .0413047{col 37}{space 1}   -4.71{col 46}{space 3}0.000{col 54}{space 4}-.2774659{col 67}{space 3}-.1113686
{txt}{space 9}32  {c |}{col 14}{res}{space 2} .1101944{col 26}{space 2} .0186958{col 37}{space 1}    5.89{col 46}{space 3}0.000{col 54}{space 4}  .072604{col 67}{space 3} .1477847
{txt}{space 9}33  {c |}{col 14}{res}{space 2} .1063777{col 26}{space 2} .0312027{col 37}{space 1}    3.41{col 46}{space 3}0.001{col 54}{space 4} .0436405{col 67}{space 3} .1691148
{txt}{space 9}34  {c |}{col 14}{res}{space 2} .0086353{col 26}{space 2} .0180959{col 37}{space 1}    0.48{col 46}{space 3}0.635{col 54}{space 4} -.027749{col 67}{space 3} .0450196
{txt}{space 9}35  {c |}{col 14}{res}{space 2}  .016411{col 26}{space 2} .0318986{col 37}{space 1}    0.51{col 46}{space 3}0.609{col 54}{space 4}-.0477255{col 67}{space 3} .0805475
{txt}{space 9}36  {c |}{col 14}{res}{space 2} .0368584{col 26}{space 2} .0174228{col 37}{space 1}    2.12{col 46}{space 3}0.040{col 54}{space 4} .0018276{col 67}{space 3} .0718893
{txt}{space 9}37  {c |}{col 14}{res}{space 2}-.0264106{col 26}{space 2} .0229199{col 37}{space 1}   -1.15{col 46}{space 3}0.255{col 54}{space 4}-.0724941{col 67}{space 3} .0196729
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{txt}{space 9}42  {c |}{col 14}{res}{space 2}-.1241465{col 26}{space 2} .0208862{col 37}{space 1}   -5.94{col 46}{space 3}0.000{col 54}{space 4} -.166141{col 67}{space 3} -.082152
{txt}{space 9}43  {c |}{col 14}{res}{space 2} .0307851{col 26}{space 2} .0192355{col 37}{space 1}    1.60{col 46}{space 3}0.116{col 54}{space 4}-.0078905{col 67}{space 3} .0694607
{txt}{space 9}44  {c |}{col 14}{res}{space 2} .0097503{col 26}{space 2} .0279178{col 37}{space 1}    0.35{col 46}{space 3}0.728{col 54}{space 4}-.0463823{col 67}{space 3} .0658829
{txt}{space 9}45  {c |}{col 14}{res}{space 2} -.073847{col 26}{space 2} .0218454{col 37}{space 1}   -3.38{col 46}{space 3}0.001{col 54}{space 4}-.1177701{col 67}{space 3}-.0299238
{txt}{space 9}46  {c |}{col 14}{res}{space 2}-.1035152{col 26}{space 2} .0258144{col 37}{space 1}   -4.01{col 46}{space 3}0.000{col 54}{space 4}-.1554185{col 67}{space 3}-.0516119
{txt}{space 9}47  {c |}{col 14}{res}{space 2}-.3403182{col 26}{space 2} .0287089{col 37}{space 1}  -11.85{col 46}{space 3}0.000{col 54}{space 4}-.3980413{col 67}{space 3}-.2825951
{txt}{space 9}50  {c |}{col 14}{res}{space 2} .0219485{col 26}{space 2} .0194476{col 37}{space 1}    1.13{col 46}{space 3}0.265{col 54}{space 4}-.0171536{col 67}{space 3} .0610506
{txt}{space 9}51  {c |}{col 14}{res}{space 2} .5609403{col 26}{space 2} .1250486{col 37}{space 1}    4.49{col 46}{space 3}0.000{col 54}{space 4} .3095132{col 67}{space 3} .8123675
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 1.854646{col 26}{space 2} .1240594{col 37}{space 1}   14.95{col 46}{space 3}0.000{col 54}{space 4} 1.605208{col 67}{space 3} 2.104084
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store h

. 
. reg ENP_cst c.logdis   vv1million   popmillion i.dummies if yr<1975&dummies!=48&dummies!=49, cluster(dummies)

{txt}Linear regression                               Number of obs     = {res}    22,830
                                                {txt}{help j_robustsingular:F(2, 48) }         =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.2377
                                                {txt}Root MSE          =    {res} .32946

{txt}{ralign 78:(Std. err. adjusted for {res:49} clusters in {res:dummies})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     ENP_cst{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}logdist {c |}{col 14}{res}{space 2}  .018887{col 26}{space 2} .0191642{col 37}{space 1}    0.99{col 46}{space 3}0.329{col 54}{space 4}-.0196451{col 67}{space 3} .0574192
{txt}{space 2}vv1million {c |}{col 14}{res}{space 2} .0228842{col 26}{space 2} .0113176{col 37}{space 1}    2.02{col 46}{space 3}0.049{col 54}{space 4} .0001287{col 67}{space 3} .0456397
{txt}{space 2}popmillion {c |}{col 14}{res}{space 2}-.0121967{col 26}{space 2} .0065071{col 37}{space 1}   -1.87{col 46}{space 3}0.067{col 54}{space 4}  -.02528{col 67}{space 3} .0008866
{txt}{space 12} {c |}
{space 5}dummies {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0992735{col 26}{space 2} .0573547{col 37}{space 1}    1.73{col 46}{space 3}0.090{col 54}{space 4} -.016046{col 67}{space 3} .2145929
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.6446902{col 26}{space 2} .0073587{col 37}{space 1}  -87.61{col 46}{space 3}0.000{col 54}{space 4}-.6594859{col 67}{space 3}-.6298944
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0656596{col 26}{space 2} .0298825{col 37}{space 1}    2.20{col 46}{space 3}0.033{col 54}{space 4} .0055767{col 67}{space 3} .1257424
{txt}{space 10}5  {c |}{col 14}{res}{space 2}  -.46728{col 26}{space 2} .0101239{col 37}{space 1}  -46.16{col 46}{space 3}0.000{col 54}{space 4}-.4876355{col 67}{space 3}-.4469244
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.0057929{col 26}{space 2} .0508216{col 37}{space 1}   -0.11{col 46}{space 3}0.910{col 54}{space 4}-.1079766{col 67}{space 3} .0963909
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{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 1.892608{col 26}{space 2} .1239536{col 37}{space 1}   15.27{col 46}{space 3}0.000{col 54}{space 4} 1.643382{col 67}{space 3} 2.141833
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store i

. 
. reg ENP_cst c.logdis   vv1million   popmillion i.dummies if yr<2000&dummies!=48&dummies!=49, cluster(dummies)

{txt}Linear regression                               Number of obs     = {res}    27,759
                                                {txt}{help j_robustsingular:F(2, 48) }         =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.2021
                                                {txt}Root MSE          =    {res} .33269

{txt}{ralign 78:(Std. err. adjusted for {res:49} clusters in {res:dummies})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     ENP_cst{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}logdist {c |}{col 14}{res}{space 2} .0113875{col 26}{space 2} .0192915{col 37}{space 1}    0.59{col 46}{space 3}0.558{col 54}{space 4}-.0274007{col 67}{space 3} .0501757
{txt}{space 2}vv1million {c |}{col 14}{res}{space 2} .0197109{col 26}{space 2} .0120039{col 37}{space 1}    1.64{col 46}{space 3}0.107{col 54}{space 4}-.0044246{col 67}{space 3} .0438464
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{txt}{space 12} {c |}
{space 5}dummies {c |}
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{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 1.928243{col 26}{space 2} .1251629{col 37}{space 1}   15.41{col 46}{space 3}0.000{col 54}{space 4} 1.676586{col 67}{space 3}   2.1799
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store j

. 
. reg ENP_cst c.logdis   vv1million   popmillion i.dummies if yr<2020&dummies!=48&dummies!=49, cluster(dummies)

{txt}Linear regression                               Number of obs     = {res}    31,574
                                                {txt}{help j_robustsingular:F(2, 48) }         =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.1924
                                                {txt}Root MSE          =    {res} .33156

{txt}{ralign 78:(Std. err. adjusted for {res:49} clusters in {res:dummies})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     ENP_cst{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}logdist {c |}{col 14}{res}{space 2} .0162129{col 26}{space 2} .0210565{col 37}{space 1}    0.77{col 46}{space 3}0.445{col 54}{space 4}-.0261241{col 67}{space 3} .0585499
{txt}{space 2}vv1million {c |}{col 14}{res}{space 2} .0234375{col 26}{space 2} .0140727{col 37}{space 1}    1.67{col 46}{space 3}0.102{col 54}{space 4}-.0048576{col 67}{space 3} .0517325
{txt}{space 2}popmillion {c |}{col 14}{res}{space 2} -.003187{col 26}{space 2} .0037972{col 37}{space 1}   -0.84{col 46}{space 3}0.405{col 54}{space 4}-.0108218{col 67}{space 3} .0044479
{txt}{space 12} {c |}
{space 5}dummies {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0003474{col 26}{space 2} .0407068{col 37}{space 1}   -0.01{col 46}{space 3}0.993{col 54}{space 4} -.082194{col 67}{space 3} .0814991
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.5256148{col 26}{space 2} .0061543{col 37}{space 1}  -85.41{col 46}{space 3}0.000{col 54}{space 4}-.5379889{col 67}{space 3}-.5132406
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0339587{col 26}{space 2} .0336228{col 37}{space 1}    1.01{col 46}{space 3}0.318{col 54}{space 4}-.0336444{col 67}{space 3} .1015618
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.4292954{col 26}{space 2} .0127902{col 37}{space 1}  -33.56{col 46}{space 3}0.000{col 54}{space 4}-.4550119{col 67}{space 3}-.4035789
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.0746569{col 26}{space 2} .0534017{col 37}{space 1}   -1.40{col 46}{space 3}0.169{col 54}{space 4}-.1820283{col 67}{space 3} .0327144
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.0228044{col 26}{space 2} .0288469{col 37}{space 1}   -0.79{col 46}{space 3}0.433{col 54}{space 4} -.080805{col 67}{space 3} .0351962
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .1766623{col 26}{space 2} .0439495{col 37}{space 1}    4.02{col 46}{space 3}0.000{col 54}{space 4}  .088296{col 67}{space 3} .2650286
{txt}{space 10}9  {c |}{col 14}{res}{space 2} -.235527{col 26}{space 2} .0371583{col 37}{space 1}   -6.34{col 46}{space 3}0.000{col 54}{space 4}-.3102388{col 67}{space 3}-.1608151
{txt}{space 9}10  {c |}{col 14}{res}{space 2}-.1827456{col 26}{space 2} .0174598{col 37}{space 1}  -10.47{col 46}{space 3}0.000{col 54}{space 4}-.2178509{col 67}{space 3}-.1476403
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.0739882{col 26}{space 2} .0045509{col 37}{space 1}  -16.26{col 46}{space 3}0.000{col 54}{space 4}-.0831383{col 67}{space 3} -.064838
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.1317728{col 26}{space 2} .0023658{col 37}{space 1}  -55.70{col 46}{space 3}0.000{col 54}{space 4}-.1365295{col 67}{space 3}-.1270161
{txt}{space 9}13  {c |}{col 14}{res}{space 2} .0483273{col 26}{space 2} .0113761{col 37}{space 1}    4.25{col 46}{space 3}0.000{col 54}{space 4}  .025454{col 67}{space 3} .0712006
{txt}{space 9}14  {c |}{col 14}{res}{space 2}-.2903458{col 26}{space 2} .0082647{col 37}{space 1}  -35.13{col 46}{space 3}0.000{col 54}{space 4} -.306963{col 67}{space 3}-.2737286
{txt}{space 9}15  {c |}{col 14}{res}{space 2}-.1225633{col 26}{space 2} .0064956{col 37}{space 1}  -18.87{col 46}{space 3}0.000{col 54}{space 4}-.1356235{col 67}{space 3} -.109503
{txt}{space 9}16  {c |}{col 14}{res}{space 2}-.0252815{col 26}{space 2} .0241472{col 37}{space 1}   -1.05{col 46}{space 3}0.300{col 54}{space 4}-.0738327{col 67}{space 3} .0232696
{txt}{space 9}17  {c |}{col 14}{res}{space 2} .0288675{col 26}{space 2} .0096647{col 37}{space 1}    2.99{col 46}{space 3}0.004{col 54}{space 4} .0094353{col 67}{space 3} .0482998
{txt}{space 9}18  {c |}{col 14}{res}{space 2}-.4338982{col 26}{space 2} .0134564{col 37}{space 1}  -32.24{col 46}{space 3}0.000{col 54}{space 4} -.460954{col 67}{space 3}-.4068424
{txt}{space 9}19  {c |}{col 14}{res}{space 2} -.063493{col 26}{space 2} .0250894{col 37}{space 1}   -2.53{col 46}{space 3}0.015{col 54}{space 4}-.1139386{col 67}{space 3}-.0130473
{txt}{space 9}20  {c |}{col 14}{res}{space 2}-.4018158{col 26}{space 2} .0102736{col 37}{space 1}  -39.11{col 46}{space 3}0.000{col 54}{space 4}-.4224723{col 67}{space 3}-.3811594
{txt}{space 9}21  {c |}{col 14}{res}{space 2} .0053301{col 26}{space 2} .0051117{col 37}{space 1}    1.04{col 46}{space 3}0.302{col 54}{space 4}-.0049477{col 67}{space 3} .0156079
{txt}{space 9}22  {c |}{col 14}{res}{space 2}-.0239392{col 26}{space 2} .0144689{col 37}{space 1}   -1.65{col 46}{space 3}0.105{col 54}{space 4}-.0530309{col 67}{space 3} .0051525
{txt}{space 9}23  {c |}{col 14}{res}{space 2}-.4617037{col 26}{space 2} .0173274{col 37}{space 1}  -26.65{col 46}{space 3}0.000{col 54}{space 4}-.4965427{col 67}{space 3}-.4268648
{txt}{space 9}24  {c |}{col 14}{res}{space 2} -.132135{col 26}{space 2} .0126479{col 37}{space 1}  -10.45{col 46}{space 3}0.000{col 54}{space 4}-.1575654{col 67}{space 3}-.1067047
{txt}{space 9}25  {c |}{col 14}{res}{space 2}-.3359263{col 26}{space 2} .0152037{col 37}{space 1}  -22.09{col 46}{space 3}0.000{col 54}{space 4}-.3664954{col 67}{space 3}-.3053571
{txt}{space 9}26  {c |}{col 14}{res}{space 2} -.092092{col 26}{space 2} .0198517{col 37}{space 1}   -4.64{col 46}{space 3}0.000{col 54}{space 4}-.1320064{col 67}{space 3}-.0521775
{txt}{space 9}27  {c |}{col 14}{res}{space 2}-.2719364{col 26}{space 2} .0359737{col 37}{space 1}   -7.56{col 46}{space 3}0.000{col 54}{space 4}-.3442663{col 67}{space 3}-.1996065
{txt}{space 9}28  {c |}{col 14}{res}{space 2} -.048322{col 26}{space 2} .0146607{col 37}{space 1}   -3.30{col 46}{space 3}0.002{col 54}{space 4}-.0777993{col 67}{space 3}-.0188447
{txt}{space 9}29  {c |}{col 14}{res}{space 2}-.4298394{col 26}{space 2} .0412954{col 37}{space 1}  -10.41{col 46}{space 3}0.000{col 54}{space 4}-.5128693{col 67}{space 3}-.3468095
{txt}{space 9}30  {c |}{col 14}{res}{space 2}-.0407414{col 26}{space 2} .0121919{col 37}{space 1}   -3.34{col 46}{space 3}0.002{col 54}{space 4}-.0652548{col 67}{space 3}-.0162279
{txt}{space 9}31  {c |}{col 14}{res}{space 2}-.1525023{col 26}{space 2} .0754047{col 37}{space 1}   -2.02{col 46}{space 3}0.049{col 54}{space 4}-.3041136{col 67}{space 3}-.0008911
{txt}{space 9}32  {c |}{col 14}{res}{space 2} .0228397{col 26}{space 2}  .016879{col 37}{space 1}    1.35{col 46}{space 3}0.182{col 54}{space 4}-.0110977{col 67}{space 3} .0567771
{txt}{space 9}33  {c |}{col 14}{res}{space 2}-.0453868{col 26}{space 2} .0342457{col 37}{space 1}   -1.33{col 46}{space 3}0.191{col 54}{space 4}-.1142424{col 67}{space 3} .0234688
{txt}{space 9}34  {c |}{col 14}{res}{space 2}-.0240332{col 26}{space 2} .0188099{col 37}{space 1}   -1.28{col 46}{space 3}0.208{col 54}{space 4} -.061853{col 67}{space 3} .0137866
{txt}{space 9}35  {c |}{col 14}{res}{space 2} .0175452{col 26}{space 2} .0329194{col 37}{space 1}    0.53{col 46}{space 3}0.597{col 54}{space 4}-.0486438{col 67}{space 3} .0837342
{txt}{space 9}36  {c |}{col 14}{res}{space 2}-.0314906{col 26}{space 2} .0195289{col 37}{space 1}   -1.61{col 46}{space 3}0.113{col 54}{space 4}-.0707561{col 67}{space 3} .0077749
{txt}{space 9}37  {c |}{col 14}{res}{space 2}-.0467007{col 26}{space 2} .0252873{col 37}{space 1}   -1.85{col 46}{space 3}0.071{col 54}{space 4}-.0975442{col 67}{space 3} .0041428
{txt}{space 9}38  {c |}{col 14}{res}{space 2} .0098343{col 26}{space 2} .0294635{col 37}{space 1}    0.33{col 46}{space 3}0.740{col 54}{space 4} -.049406{col 67}{space 3} .0690746
{txt}{space 9}39  {c |}{col 14}{res}{space 2}-.1039574{col 26}{space 2} .0337694{col 37}{space 1}   -3.08{col 46}{space 3}0.003{col 54}{space 4}-.1718553{col 67}{space 3}-.0360595
{txt}{space 9}40  {c |}{col 14}{res}{space 2}-.0436871{col 26}{space 2} .0279392{col 37}{space 1}   -1.56{col 46}{space 3}0.124{col 54}{space 4}-.0998626{col 67}{space 3} .0124884
{txt}{space 9}41  {c |}{col 14}{res}{space 2}-.0118967{col 26}{space 2} .0316217{col 37}{space 1}   -0.38{col 46}{space 3}0.708{col 54}{space 4}-.0754764{col 67}{space 3}  .051683
{txt}{space 9}42  {c |}{col 14}{res}{space 2}-.1042267{col 26}{space 2} .0226411{col 37}{space 1}   -4.60{col 46}{space 3}0.000{col 54}{space 4}-.1497497{col 67}{space 3}-.0587037
{txt}{space 9}43  {c |}{col 14}{res}{space 2}-.0212151{col 26}{space 2} .0210787{col 37}{space 1}   -1.01{col 46}{space 3}0.319{col 54}{space 4}-.0635967{col 67}{space 3} .0211665
{txt}{space 9}44  {c |}{col 14}{res}{space 2}-.0286165{col 26}{space 2}  .029796{col 37}{space 1}   -0.96{col 46}{space 3}0.342{col 54}{space 4}-.0885254{col 67}{space 3} .0312925
{txt}{space 9}45  {c |}{col 14}{res}{space 2}-.1356429{col 26}{space 2} .0197403{col 37}{space 1}   -6.87{col 46}{space 3}0.000{col 54}{space 4}-.1753333{col 67}{space 3}-.0959524
{txt}{space 9}46  {c |}{col 14}{res}{space 2}-.1057254{col 26}{space 2} .0270988{col 37}{space 1}   -3.90{col 46}{space 3}0.000{col 54}{space 4}-.1602112{col 67}{space 3}-.0512396
{txt}{space 9}47  {c |}{col 14}{res}{space 2}-.1378819{col 26}{space 2} .0306116{col 37}{space 1}   -4.50{col 46}{space 3}0.000{col 54}{space 4}-.1994307{col 67}{space 3}-.0763331
{txt}{space 9}50  {c |}{col 14}{res}{space 2}-.0386867{col 26}{space 2}  .016557{col 37}{space 1}   -2.34{col 46}{space 3}0.024{col 54}{space 4}-.0719767{col 67}{space 3}-.0053967
{txt}{space 9}51  {c |}{col 14}{res}{space 2} .4032476{col 26}{space 2} .1391203{col 37}{space 1}    2.90{col 46}{space 3}0.006{col 54}{space 4} .1235275{col 67}{space 3} .6829676
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 1.903587{col 26}{space 2} .1369751{col 37}{space 1}   13.90{col 46}{space 3}0.000{col 54}{space 4}  1.62818{col 67}{space 3} 2.178994
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store k

. 
. coefplot c d e f h i j k  , keep ( logdist) yline(0) xlabel(0.61(0.11)1.38, grid) title("Entire US") ytitle("Coefficient on (the log of) distance") xlabel(0.61 "1850" 0.72 "1875" 0.83 "1900" 0.94 "1925" 1.06 "1950" 1.17 "1975" 1.28 "2000" 1.39 "2016")  legend(off) ciopts(lcolor(ebblue)) mcolor(ebblue) vert name(c1)
{res}
{com}. 
. reg ENP_cst c.logdis   popmillion vv1million  i.dummies if south==0&yr<1850&dummies!=48&dummies!=49, cluster(dummies)

{txt}Linear regression                               Number of obs     = {res}     1,038
                                                {txt}{help j_robustsingular:F(2, 16) }         =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.1413
                                                {txt}Root MSE          =    {res} .28037

{txt}{ralign 78:(Std. err. adjusted for {res:17} clusters in {res:dummies})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     ENP_cst{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}logdist {c |}{col 14}{res}{space 2}-.0397625{col 26}{space 2} .0320943{col 37}{space 1}   -1.24{col 46}{space 3}0.233{col 54}{space 4}-.1077994{col 67}{space 3} .0282745
{txt}{space 2}popmillion {c |}{col 14}{res}{space 2} .2521576{col 26}{space 2} .0394377{col 37}{space 1}    6.39{col 46}{space 3}0.000{col 54}{space 4} .1685534{col 67}{space 3} .3357619
{txt}{space 2}vv1million {c |}{col 14}{res}{space 2}  .554548{col 26}{space 2} .4089332{col 37}{space 1}    1.36{col 46}{space 3}0.194{col 54}{space 4}-.3123516{col 67}{space 3} 1.421448
{txt}{space 12} {c |}
{space 5}dummies {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.6440482{col 26}{space 2} .0672694{col 37}{space 1}   -9.57{col 46}{space 3}0.000{col 54}{space 4} -.786653{col 67}{space 3}-.5014434
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.2672836{col 26}{space 2} .0512792{col 37}{space 1}   -5.21{col 46}{space 3}0.000{col 54}{space 4}-.3759906{col 67}{space 3}-.1585766
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.4773527{col 26}{space 2} .0807712{col 37}{space 1}   -5.91{col 46}{space 3}0.000{col 54}{space 4}-.6485799{col 67}{space 3}-.3061254
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.3705396{col 26}{space 2} .0383958{col 37}{space 1}   -9.65{col 46}{space 3}0.000{col 54}{space 4} -.451935{col 67}{space 3}-.2891441
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.6534935{col 26}{space 2} .0825299{col 37}{space 1}   -7.92{col 46}{space 3}0.000{col 54}{space 4}-.8284492{col 67}{space 3}-.4785378
{txt}{space 9}11  {c |}{col 14}{res}{space 2} -.384466{col 26}{space 2} .0135825{col 37}{space 1}  -28.31{col 46}{space 3}0.000{col 54}{space 4}-.4132597{col 67}{space 3}-.3556723
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.0811999{col 26}{space 2}  .010247{col 37}{space 1}   -7.92{col 46}{space 3}0.000{col 54}{space 4}-.1029226{col 67}{space 3}-.0594772
{txt}{space 9}13  {c |}{col 14}{res}{space 2}  -.22417{col 26}{space 2} .0148386{col 37}{space 1}  -15.11{col 46}{space 3}0.000{col 54}{space 4}-.2556265{col 67}{space 3}-.1927136
{txt}{space 9}15  {c |}{col 14}{res}{space 2}-.5369448{col 26}{space 2}  .021819{col 37}{space 1}  -24.61{col 46}{space 3}0.000{col 54}{space 4} -.583199{col 67}{space 3}-.4906907
{txt}{space 9}16  {c |}{col 14}{res}{space 2}-.5236195{col 26}{space 2} .0446291{col 37}{space 1}  -11.73{col 46}{space 3}0.000{col 54}{space 4}-.6182288{col 67}{space 3}-.4290101
{txt}{space 9}17  {c |}{col 14}{res}{space 2}-.3514458{col 26}{space 2} .0151354{col 37}{space 1}  -23.22{col 46}{space 3}0.000{col 54}{space 4}-.3835314{col 67}{space 3}-.3193601
{txt}{space 9}19  {c |}{col 14}{res}{space 2}-.3620503{col 26}{space 2} .0138969{col 37}{space 1}  -26.05{col 46}{space 3}0.000{col 54}{space 4}-.3915104{col 67}{space 3}-.3325902
{txt}{space 9}21  {c |}{col 14}{res}{space 2}-.0671821{col 26}{space 2} .0141698{col 37}{space 1}   -4.74{col 46}{space 3}0.000{col 54}{space 4}-.0972208{col 67}{space 3}-.0371434
{txt}{space 9}22  {c |}{col 14}{res}{space 2}-.2227664{col 26}{space 2} .0210566{col 37}{space 1}  -10.58{col 46}{space 3}0.000{col 54}{space 4}-.2674043{col 67}{space 3}-.1781285
{txt}{space 9}24  {c |}{col 14}{res}{space 2}-.2403159{col 26}{space 2} .0204871{col 37}{space 1}  -11.73{col 46}{space 3}0.000{col 54}{space 4}-.2837467{col 67}{space 3}-.1968852
{txt}{space 9}26  {c |}{col 14}{res}{space 2}  .006297{col 26}{space 2}  .012429{col 37}{space 1}    0.51{col 46}{space 3}0.619{col 54}{space 4}-.0200513{col 67}{space 3} .0326454
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 2.435578{col 26}{space 2} .2086102{col 37}{space 1}   11.68{col 46}{space 3}0.000{col 54}{space 4} 1.993344{col 67}{space 3} 2.877811
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store c

. 
. reg ENP_cst c.logdis    popmillion vv1million   i.dummies if south==0&yr<1875&dummies!=48&dummies!=49, cluster(dummies)

{txt}Linear regression                               Number of obs     = {res}     3,339
                                                {txt}{help j_robustsingular:F(2, 25) }         =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0748
                                                {txt}Root MSE          =    {res} .27808

{txt}{ralign 78:(Std. err. adjusted for {res:26} clusters in {res:dummies})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     ENP_cst{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}logdist {c |}{col 14}{res}{space 2}-.0150996{col 26}{space 2} .0137997{col 37}{space 1}   -1.09{col 46}{space 3}0.284{col 54}{space 4}-.0435206{col 67}{space 3} .0133214
{txt}{space 2}popmillion {c |}{col 14}{res}{space 2}-.0396868{col 26}{space 2} .0205741{col 37}{space 1}   -1.93{col 46}{space 3}0.065{col 54}{space 4}-.0820598{col 67}{space 3} .0026863
{txt}{space 2}vv1million {c |}{col 14}{res}{space 2} .1351587{col 26}{space 2} .1178413{col 37}{space 1}    1.15{col 46}{space 3}0.262{col 54}{space 4}  -.10754{col 67}{space 3} .3778575
{txt}{space 12} {c |}
{space 5}dummies {c |}
{space 10}2  {c |}{col 14}{res}{space 2} -.012639{col 26}{space 2} .0370658{col 37}{space 1}   -0.34{col 46}{space 3}0.736{col 54}{space 4}-.0889774{col 67}{space 3} .0636995
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.0784339{col 26}{space 2} .0247845{col 37}{space 1}   -3.16{col 46}{space 3}0.004{col 54}{space 4}-.1294785{col 67}{space 3}-.0273893
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.1869033{col 26}{space 2} .0310989{col 37}{space 1}   -6.01{col 46}{space 3}0.000{col 54}{space 4}-.2509528{col 67}{space 3}-.1228539
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.0470483{col 26}{space 2} .0117907{col 37}{space 1}   -3.99{col 46}{space 3}0.001{col 54}{space 4}-.0713317{col 67}{space 3}-.0227648
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .1425833{col 26}{space 2} .0541023{col 37}{space 1}    2.64{col 46}{space 3}0.014{col 54}{space 4} .0311575{col 67}{space 3}  .254009
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.2375106{col 26}{space 2}  .005525{col 37}{space 1}  -42.99{col 46}{space 3}0.000{col 54}{space 4}-.2488896{col 67}{space 3}-.2261317
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.0870889{col 26}{space 2} .0019192{col 37}{space 1}  -45.38{col 46}{space 3}0.000{col 54}{space 4}-.0910416{col 67}{space 3}-.0831362
{txt}{space 9}13  {c |}{col 14}{res}{space 2}-.0283681{col 26}{space 2}  .004948{col 37}{space 1}   -5.73{col 46}{space 3}0.000{col 54}{space 4}-.0385587{col 67}{space 3}-.0181775
{txt}{space 9}15  {c |}{col 14}{res}{space 2}-.2143018{col 26}{space 2} .0148139{col 37}{space 1}  -14.47{col 46}{space 3}0.000{col 54}{space 4}-.2448117{col 67}{space 3}-.1837919
{txt}{space 9}16  {c |}{col 14}{res}{space 2} .0061718{col 26}{space 2} .0307314{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0571206{col 67}{space 3} .0694643
{txt}{space 9}17  {c |}{col 14}{res}{space 2}-.0410986{col 26}{space 2} .0169882{col 37}{space 1}   -2.42{col 46}{space 3}0.023{col 54}{space 4}-.0760864{col 67}{space 3}-.0061108
{txt}{space 9}19  {c |}{col 14}{res}{space 2}-.0562992{col 26}{space 2} .0273092{col 37}{space 1}   -2.06{col 46}{space 3}0.050{col 54}{space 4}-.1125435{col 67}{space 3}-.0000548
{txt}{space 9}21  {c |}{col 14}{res}{space 2} .0510813{col 26}{space 2} .0077853{col 37}{space 1}    6.56{col 46}{space 3}0.000{col 54}{space 4} .0350472{col 67}{space 3} .0671155
{txt}{space 9}22  {c |}{col 14}{res}{space 2} .0464601{col 26}{space 2} .0223295{col 37}{space 1}    2.08{col 46}{space 3}0.048{col 54}{space 4} .0004717{col 67}{space 3} .0924486
{txt}{space 9}24  {c |}{col 14}{res}{space 2} -.022643{col 26}{space 2} .0133819{col 37}{space 1}   -1.69{col 46}{space 3}0.103{col 54}{space 4}-.0502036{col 67}{space 3} .0049176
{txt}{space 9}26  {c |}{col 14}{res}{space 2}-.0199142{col 26}{space 2} .0107069{col 37}{space 1}   -1.86{col 46}{space 3}0.075{col 54}{space 4}-.0419655{col 67}{space 3}  .002137
{txt}{space 9}28  {c |}{col 14}{res}{space 2}-.1090993{col 26}{space 2} .0176798{col 37}{space 1}   -6.17{col 46}{space 3}0.000{col 54}{space 4}-.1455116{col 67}{space 3} -.072687
{txt}{space 9}30  {c |}{col 14}{res}{space 2}-.0687938{col 26}{space 2} .0144064{col 37}{space 1}   -4.78{col 46}{space 3}0.000{col 54}{space 4}-.0984642{col 67}{space 3}-.0391233
{txt}{space 9}31  {c |}{col 14}{res}{space 2} .0723166{col 26}{space 2} .0259517{col 37}{space 1}    2.79{col 46}{space 3}0.010{col 54}{space 4}  .018868{col 67}{space 3} .1257652
{txt}{space 9}32  {c |}{col 14}{res}{space 2} -.052789{col 26}{space 2} .0107808{col 37}{space 1}   -4.90{col 46}{space 3}0.000{col 54}{space 4}-.0749924{col 67}{space 3}-.0305855
{txt}{space 9}33  {c |}{col 14}{res}{space 2} .0433301{col 26}{space 2} .0205495{col 37}{space 1}    2.11{col 46}{space 3}0.045{col 54}{space 4} .0010075{col 67}{space 3} .0856527
{txt}{space 9}34  {c |}{col 14}{res}{space 2}-.1177651{col 26}{space 2} .0163118{col 37}{space 1}   -7.22{col 46}{space 3}0.000{col 54}{space 4}-.1513599{col 67}{space 3}-.0841704
{txt}{space 9}35  {c |}{col 14}{res}{space 2} -.045365{col 26}{space 2} .0193403{col 37}{space 1}   -2.35{col 46}{space 3}0.027{col 54}{space 4}-.0851972{col 67}{space 3}-.0055329
{txt}{space 9}36  {c |}{col 14}{res}{space 2}-.0582785{col 26}{space 2} .0128521{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0847479{col 67}{space 3} -.031809
{txt}{space 9}50  {c |}{col 14}{res}{space 2}-.3504884{col 26}{space 2} .0096801{col 37}{space 1}  -36.21{col 46}{space 3}0.000{col 54}{space 4} -.370425{col 67}{space 3}-.3305518
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 2.163353{col 26}{space 2} .0941285{col 37}{space 1}   22.98{col 46}{space 3}0.000{col 54}{space 4} 1.969491{col 67}{space 3} 2.357214
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store d

. 
. reg ENP_cst c.logdis   popmillion vv1million   i.dummies if south==0&yr<1900&dummies!=48&dummies!=49, cluster(dummies)

{txt}Linear regression                               Number of obs     = {res}     6,254
                                                {txt}{help j_robustsingular:F(2, 32) }         =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0656
                                                {txt}Root MSE          =    {res} .27445

{txt}{ralign 78:(Std. err. adjusted for {res:33} clusters in {res:dummies})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     ENP_cst{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}logdist {c |}{col 14}{res}{space 2} .0336632{col 26}{space 2} .0164568{col 37}{space 1}    2.05{col 46}{space 3}0.049{col 54}{space 4} .0001417{col 67}{space 3} .0671847
{txt}{space 2}popmillion {c |}{col 14}{res}{space 2} .0137469{col 26}{space 2} .0193917{col 37}{space 1}    0.71{col 46}{space 3}0.484{col 54}{space 4}-.0257526{col 67}{space 3} .0532465
{txt}{space 2}vv1million {c |}{col 14}{res}{space 2} .0643054{col 26}{space 2}  .036314{col 37}{space 1}    1.77{col 46}{space 3}0.086{col 54}{space 4}-.0096638{col 67}{space 3} .1382746
{txt}{space 12} {c |}
{space 5}dummies {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0626784{col 26}{space 2} .0552817{col 37}{space 1}   -1.13{col 46}{space 3}0.265{col 54}{space 4}-.1752835{col 67}{space 3} .0499267
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0171232{col 26}{space 2} .0276223{col 37}{space 1}    0.62{col 46}{space 3}0.540{col 54}{space 4}-.0391416{col 67}{space 3} .0733879
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.0279791{col 26}{space 2} .0379007{col 37}{space 1}   -0.74{col 46}{space 3}0.466{col 54}{space 4}-.1051803{col 67}{space 3} .0492222
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .0477811{col 26}{space 2} .0171922{col 37}{space 1}    2.78{col 46}{space 3}0.009{col 54}{space 4} .0127617{col 67}{space 3} .0828005
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.0151929{col 26}{space 2} .0679784{col 37}{space 1}   -0.22{col 46}{space 3}0.825{col 54}{space 4}-.1536603{col 67}{space 3} .1232745
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.1607048{col 26}{space 2} .0042672{col 37}{space 1}  -37.66{col 46}{space 3}0.000{col 54}{space 4}-.1693969{col 67}{space 3}-.1520128
{txt}{space 9}12  {c |}{col 14}{res}{space 2} -.153465{col 26}{space 2} .0016597{col 37}{space 1}  -92.47{col 46}{space 3}0.000{col 54}{space 4}-.1568457{col 67}{space 3}-.1500843
{txt}{space 9}13  {c |}{col 14}{res}{space 2} .0011892{col 26}{space 2} .0063026{col 37}{space 1}    0.19{col 46}{space 3}0.852{col 54}{space 4}-.0116488{col 67}{space 3} .0140272
{txt}{space 9}15  {c |}{col 14}{res}{space 2}-.1766041{col 26}{space 2} .0189186{col 37}{space 1}   -9.33{col 46}{space 3}0.000{col 54}{space 4}  -.21514{col 67}{space 3}-.1380681
{txt}{space 9}16  {c |}{col 14}{res}{space 2}-.0426412{col 26}{space 2} .0393861{col 37}{space 1}   -1.08{col 46}{space 3}0.287{col 54}{space 4}-.1228681{col 67}{space 3} .0375857
{txt}{space 9}17  {c |}{col 14}{res}{space 2}-.0382507{col 26}{space 2} .0231654{col 37}{space 1}   -1.65{col 46}{space 3}0.108{col 54}{space 4} -.085437{col 67}{space 3} .0089356
{txt}{space 9}19  {c |}{col 14}{res}{space 2}-.0548536{col 26}{space 2} .0444536{col 37}{space 1}   -1.23{col 46}{space 3}0.226{col 54}{space 4}-.1454026{col 67}{space 3} .0356955
{txt}{space 9}21  {c |}{col 14}{res}{space 2} .0127073{col 26}{space 2} .0076262{col 37}{space 1}    1.67{col 46}{space 3}0.105{col 54}{space 4}-.0028268{col 67}{space 3} .0282414
{txt}{space 9}22  {c |}{col 14}{res}{space 2}-.0042388{col 26}{space 2} .0339155{col 37}{space 1}   -0.12{col 46}{space 3}0.901{col 54}{space 4}-.0733223{col 67}{space 3} .0648448
{txt}{space 9}24  {c |}{col 14}{res}{space 2}-.0450401{col 26}{space 2} .0195279{col 37}{space 1}   -2.31{col 46}{space 3}0.028{col 54}{space 4} -.084817{col 67}{space 3}-.0052631
{txt}{space 9}26  {c |}{col 14}{res}{space 2} .0439188{col 26}{space 2} .0212372{col 37}{space 1}    2.07{col 46}{space 3}0.047{col 54}{space 4}   .00066{col 67}{space 3} .0871776
{txt}{space 9}28  {c |}{col 14}{res}{space 2}-.0650471{col 26}{space 2} .0273014{col 37}{space 1}   -2.38{col 46}{space 3}0.023{col 54}{space 4}-.1206583{col 67}{space 3}-.0094359
{txt}{space 9}30  {c |}{col 14}{res}{space 2}-.0162163{col 26}{space 2} .0210179{col 37}{space 1}   -0.77{col 46}{space 3}0.446{col 54}{space 4}-.0590284{col 67}{space 3} .0265958
{txt}{space 9}31  {c |}{col 14}{res}{space 2} .1092422{col 26}{space 2} .0324111{col 37}{space 1}    3.37{col 46}{space 3}0.002{col 54}{space 4}  .043223{col 67}{space 3} .1752614
{txt}{space 9}32  {c |}{col 14}{res}{space 2} .0667599{col 26}{space 2} .0190407{col 37}{space 1}    3.51{col 46}{space 3}0.001{col 54}{space 4} .0279753{col 67}{space 3} .1055446
{txt}{space 9}33  {c |}{col 14}{res}{space 2} .2126268{col 26}{space 2} .0266042{col 37}{space 1}    7.99{col 46}{space 3}0.000{col 54}{space 4} .1584357{col 67}{space 3} .2668178
{txt}{space 9}34  {c |}{col 14}{res}{space 2} .0143535{col 26}{space 2} .0246347{col 37}{space 1}    0.58{col 46}{space 3}0.564{col 54}{space 4}-.0358258{col 67}{space 3} .0645328
{txt}{space 9}35  {c |}{col 14}{res}{space 2}-.1349709{col 26}{space 2} .0253426{col 37}{space 1}   -5.33{col 46}{space 3}0.000{col 54}{space 4}-.1865921{col 67}{space 3}-.0833496
{txt}{space 9}36  {c |}{col 14}{res}{space 2}  .157928{col 26}{space 2} .0206255{col 37}{space 1}    7.66{col 46}{space 3}0.000{col 54}{space 4} .1159153{col 67}{space 3} .1999407
{txt}{space 9}37  {c |}{col 14}{res}{space 2}-.1812396{col 26}{space 2} .0200875{col 37}{space 1}   -9.02{col 46}{space 3}0.000{col 54}{space 4}-.2221565{col 67}{space 3}-.1403226
{txt}{space 9}38  {c |}{col 14}{res}{space 2} .2632648{col 26}{space 2} .0218013{col 37}{space 1}   12.08{col 46}{space 3}0.000{col 54}{space 4}  .218857{col 67}{space 3} .3076725
{txt}{space 9}40  {c |}{col 14}{res}{space 2} .0198579{col 26}{space 2} .0209613{col 37}{space 1}    0.95{col 46}{space 3}0.351{col 54}{space 4}-.0228388{col 67}{space 3} .0625545
{txt}{space 9}41  {c |}{col 14}{res}{space 2} .5509072{col 26}{space 2} .0241099{col 37}{space 1}   22.85{col 46}{space 3}0.000{col 54}{space 4}  .501797{col 67}{space 3} .6000174
{txt}{space 9}42  {c |}{col 14}{res}{space 2} .0066887{col 26}{space 2} .0175865{col 37}{space 1}    0.38{col 46}{space 3}0.706{col 54}{space 4}-.0291339{col 67}{space 3} .0425113
{txt}{space 9}43  {c |}{col 14}{res}{space 2} .5463237{col 26}{space 2} .0155769{col 37}{space 1}   35.07{col 46}{space 3}0.000{col 54}{space 4} .5145947{col 67}{space 3} .5780527
{txt}{space 9}50  {c |}{col 14}{res}{space 2}-.0292006{col 26}{space 2} .0118103{col 37}{space 1}   -2.47{col 46}{space 3}0.019{col 54}{space 4}-.0532574{col 67}{space 3}-.0051438
{txt}{space 9}51  {c |}{col 14}{res}{space 2}  .516429{col 26}{space 2} .1098012{col 37}{space 1}    4.70{col 46}{space 3}0.000{col 54}{space 4} .2927712{col 67}{space 3} .7400867
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 1.835288{col 26}{space 2} .1090912{col 37}{space 1}   16.82{col 46}{space 3}0.000{col 54}{space 4} 1.613077{col 67}{space 3}   2.0575
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store e

. 
. reg ENP_cst c.logdis    popmillion vv1million   i.dummies if south==0&yr<1925&dummies!=48&dummies!=49, cluster(dummies)

{txt}Linear regression                               Number of obs     = {res}    10,202
                                                {txt}{help j_robustsingular:F(2, 37) }         =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0512
                                                {txt}Root MSE          =    {res} .32636

{txt}{ralign 78:(Std. err. adjusted for {res:38} clusters in {res:dummies})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     ENP_cst{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}logdist {c |}{col 14}{res}{space 2} .0236532{col 26}{space 2} .0253154{col 37}{space 1}    0.93{col 46}{space 3}0.356{col 54}{space 4}-.0276406{col 67}{space 3} .0749469
{txt}{space 2}popmillion {c |}{col 14}{res}{space 2} .0224959{col 26}{space 2} .0078695{col 37}{space 1}    2.86{col 46}{space 3}0.007{col 54}{space 4} .0065508{col 67}{space 3}  .038441
{txt}{space 2}vv1million {c |}{col 14}{res}{space 2} .0609985{col 26}{space 2} .0183479{col 37}{space 1}    3.32{col 46}{space 3}0.002{col 54}{space 4} .0238222{col 67}{space 3} .0981748
{txt}{space 12} {c |}
{space 5}dummies {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0530004{col 26}{space 2} .0285326{col 37}{space 1}   -1.86{col 46}{space 3}0.071{col 54}{space 4}-.1108129{col 67}{space 3} .0048121
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0600909{col 26}{space 2}  .041429{col 37}{space 1}    1.45{col 46}{space 3}0.155{col 54}{space 4}-.0238523{col 67}{space 3} .1440341
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.0119704{col 26}{space 2} .0588238{col 37}{space 1}   -0.20{col 46}{space 3}0.840{col 54}{space 4}-.1311586{col 67}{space 3} .1072179
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .0451246{col 26}{space 2} .0208175{col 37}{space 1}    2.17{col 46}{space 3}0.037{col 54}{space 4} .0029444{col 67}{space 3} .0873048
{txt}{space 10}8  {c |}{col 14}{res}{space 2} -.042809{col 26}{space 2} .0342825{col 37}{space 1}   -1.25{col 46}{space 3}0.220{col 54}{space 4} -.112272{col 67}{space 3} .0266539
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.0915013{col 26}{space 2} .0053628{col 37}{space 1}  -17.06{col 46}{space 3}0.000{col 54}{space 4}-.1023675{col 67}{space 3}-.0806352
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.1737824{col 26}{space 2} .0033007{col 37}{space 1}  -52.65{col 46}{space 3}0.000{col 54}{space 4}-.1804703{col 67}{space 3}-.1670945
{txt}{space 9}13  {c |}{col 14}{res}{space 2} .0350881{col 26}{space 2} .0091937{col 37}{space 1}    3.82{col 46}{space 3}0.000{col 54}{space 4} .0164599{col 67}{space 3} .0537163
{txt}{space 9}15  {c |}{col 14}{res}{space 2}-.1602568{col 26}{space 2} .0096254{col 37}{space 1}  -16.65{col 46}{space 3}0.000{col 54}{space 4}-.1797596{col 67}{space 3}-.1407539
{txt}{space 9}16  {c |}{col 14}{res}{space 2}-.0504557{col 26}{space 2} .0181858{col 37}{space 1}   -2.77{col 46}{space 3}0.009{col 54}{space 4}-.0873035{col 67}{space 3}-.0136078
{txt}{space 9}17  {c |}{col 14}{res}{space 2} .0118619{col 26}{space 2} .0145268{col 37}{space 1}    0.82{col 46}{space 3}0.419{col 54}{space 4}-.0175723{col 67}{space 3}  .041296
{txt}{space 9}19  {c |}{col 14}{res}{space 2} -.045169{col 26}{space 2} .0339165{col 37}{space 1}   -1.33{col 46}{space 3}0.191{col 54}{space 4}-.1138904{col 67}{space 3} .0235524
{txt}{space 9}21  {c |}{col 14}{res}{space 2} .0068726{col 26}{space 2} .0079408{col 37}{space 1}    0.87{col 46}{space 3}0.392{col 54}{space 4} -.009217{col 67}{space 3} .0229622
{txt}{space 9}22  {c |}{col 14}{res}{space 2}-.0331105{col 26}{space 2} .0286004{col 37}{space 1}   -1.16{col 46}{space 3}0.254{col 54}{space 4}-.0910604{col 67}{space 3} .0248393
{txt}{space 9}24  {c |}{col 14}{res}{space 2}-.0651235{col 26}{space 2}  .011514{col 37}{space 1}   -5.66{col 46}{space 3}0.000{col 54}{space 4} -.088453{col 67}{space 3} -.041794
{txt}{space 9}26  {c |}{col 14}{res}{space 2}-.0364484{col 26}{space 2} .0157355{col 37}{space 1}   -2.32{col 46}{space 3}0.026{col 54}{space 4}-.0683315{col 67}{space 3}-.0045654
{txt}{space 9}28  {c |}{col 14}{res}{space 2}-.0933725{col 26}{space 2} .0268738{col 37}{space 1}   -3.47{col 46}{space 3}0.001{col 54}{space 4}-.1478241{col 67}{space 3}-.0389209
{txt}{space 9}30  {c |}{col 14}{res}{space 2}-.0313174{col 26}{space 2} .0210828{col 37}{space 1}   -1.49{col 46}{space 3}0.146{col 54}{space 4}-.0740353{col 67}{space 3} .0114005
{txt}{space 9}31  {c |}{col 14}{res}{space 2}-.0418938{col 26}{space 2} .0504228{col 37}{space 1}   -0.83{col 46}{space 3}0.411{col 54}{space 4}  -.14406{col 67}{space 3} .0602724
{txt}{space 9}32  {c |}{col 14}{res}{space 2} .0073348{col 26}{space 2} .0270704{col 37}{space 1}    0.27{col 46}{space 3}0.788{col 54}{space 4} -.047515{col 67}{space 3} .0621846
{txt}{space 9}33  {c |}{col 14}{res}{space 2} .2401143{col 26}{space 2} .0428273{col 37}{space 1}    5.61{col 46}{space 3}0.000{col 54}{space 4}  .153338{col 67}{space 3} .3268906
{txt}{space 9}34  {c |}{col 14}{res}{space 2} .0205084{col 26}{space 2} .0298359{col 37}{space 1}    0.69{col 46}{space 3}0.496{col 54}{space 4}-.0399449{col 67}{space 3} .0809617
{txt}{space 9}35  {c |}{col 14}{res}{space 2} .0897423{col 26}{space 2} .0389743{col 37}{space 1}    2.30{col 46}{space 3}0.027{col 54}{space 4} .0107728{col 67}{space 3} .1687117
{txt}{space 9}36  {c |}{col 14}{res}{space 2} .0658004{col 26}{space 2}  .028397{col 37}{space 1}    2.32{col 46}{space 3}0.026{col 54}{space 4} .0082626{col 67}{space 3} .1233381
{txt}{space 9}37  {c |}{col 14}{res}{space 2} .0347267{col 26}{space 2} .0335183{col 37}{space 1}    1.04{col 46}{space 3}0.307{col 54}{space 4}-.0331877{col 67}{space 3} .1026412
{txt}{space 9}38  {c |}{col 14}{res}{space 2} .2525124{col 26}{space 2} .0354953{col 37}{space 1}    7.11{col 46}{space 3}0.000{col 54}{space 4} .1805922{col 67}{space 3} .3244326
{txt}{space 9}39  {c |}{col 14}{res}{space 2} .2588132{col 26}{space 2} .0465469{col 37}{space 1}    5.56{col 46}{space 3}0.000{col 54}{space 4} .1645003{col 67}{space 3} .3531262
{txt}{space 9}40  {c |}{col 14}{res}{space 2}-.0294284{col 26}{space 2} .0324661{col 37}{space 1}   -0.91{col 46}{space 3}0.371{col 54}{space 4}-.0952109{col 67}{space 3} .0363541
{txt}{space 9}41  {c |}{col 14}{res}{space 2} .2747052{col 26}{space 2} .0382303{col 37}{space 1}    7.19{col 46}{space 3}0.000{col 54}{space 4} .1972432{col 67}{space 3} .3521671
{txt}{space 9}42  {c |}{col 14}{res}{space 2}-.1347717{col 26}{space 2} .0288131{col 37}{space 1}   -4.68{col 46}{space 3}0.000{col 54}{space 4}-.1931526{col 67}{space 3}-.0763908
{txt}{space 9}43  {c |}{col 14}{res}{space 2}    .1713{col 26}{space 2} .0276673{col 37}{space 1}    6.19{col 46}{space 3}0.000{col 54}{space 4} .1152407{col 67}{space 3} .2273593
{txt}{space 9}44  {c |}{col 14}{res}{space 2} .1625754{col 26}{space 2} .0370868{col 37}{space 1}    4.38{col 46}{space 3}0.000{col 54}{space 4} .0874305{col 67}{space 3} .2377203
{txt}{space 9}45  {c |}{col 14}{res}{space 2}  .165114{col 26}{space 2} .0332188{col 37}{space 1}    4.97{col 46}{space 3}0.000{col 54}{space 4} .0978064{col 67}{space 3} .2324216
{txt}{space 9}46  {c |}{col 14}{res}{space 2}-.0588815{col 26}{space 2} .0338168{col 37}{space 1}   -1.74{col 46}{space 3}0.090{col 54}{space 4}-.1274009{col 67}{space 3} .0096378
{txt}{space 9}47  {c |}{col 14}{res}{space 2}-.4111973{col 26}{space 2} .0378416{col 37}{space 1}  -10.87{col 46}{space 3}0.000{col 54}{space 4}-.4878716{col 67}{space 3}-.3345231
{txt}{space 9}50  {c |}{col 14}{res}{space 2} .0115254{col 26}{space 2}  .015724{col 37}{space 1}    0.73{col 46}{space 3}0.468{col 54}{space 4}-.0203344{col 67}{space 3} .0433853
{txt}{space 9}51  {c |}{col 14}{res}{space 2} .4984315{col 26}{space 2} .1646799{col 37}{space 1}    3.03{col 46}{space 3}0.004{col 54}{space 4} .1647584{col 67}{space 3} .8321047
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 1.890753{col 26}{space 2} .1670924{col 37}{space 1}   11.32{col 46}{space 3}0.000{col 54}{space 4} 1.552192{col 67}{space 3} 2.229315
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store f

. 
. reg ENP_cst c.logdis   popmillion vv1million   i.dummies if south==0&yr<1950&dummies!=48&dummies!=49, cluster(dummies)

{txt}Linear regression                               Number of obs     = {res}    14,082
                                                {txt}{help j_robustsingular:F(2, 37) }         =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0416
                                                {txt}Root MSE          =    {res} .32754

{txt}{ralign 78:(Std. err. adjusted for {res:38} clusters in {res:dummies})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     ENP_cst{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}logdist {c |}{col 14}{res}{space 2} .0138867{col 26}{space 2} .0278652{col 37}{space 1}    0.50{col 46}{space 3}0.621{col 54}{space 4}-.0425735{col 67}{space 3} .0703469
{txt}{space 2}popmillion {c |}{col 14}{res}{space 2} -.004809{col 26}{space 2} .0079748{col 37}{space 1}   -0.60{col 46}{space 3}0.550{col 54}{space 4}-.0209674{col 67}{space 3} .0113494
{txt}{space 2}vv1million {c |}{col 14}{res}{space 2} .0150232{col 26}{space 2} .0090565{col 37}{space 1}    1.66{col 46}{space 3}0.106{col 54}{space 4}-.0033271{col 67}{space 3} .0333735
{txt}{space 12} {c |}
{space 5}dummies {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0445302{col 26}{space 2} .0632335{col 37}{space 1}    0.70{col 46}{space 3}0.486{col 54}{space 4}-.0835931{col 67}{space 3} .1726534
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0489091{col 26}{space 2} .0439227{col 37}{space 1}    1.11{col 46}{space 3}0.273{col 54}{space 4}-.0400867{col 67}{space 3}  .137905
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.0207266{col 26}{space 2} .0697383{col 37}{space 1}   -0.30{col 46}{space 3}0.768{col 54}{space 4}-.1620299{col 67}{space 3} .1205766
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .0269166{col 26}{space 2} .0367094{col 37}{space 1}    0.73{col 46}{space 3}0.468{col 54}{space 4}-.0474637{col 67}{space 3} .1012968
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .1183032{col 26}{space 2} .0622573{col 37}{space 1}    1.90{col 46}{space 3}0.065{col 54}{space 4}-.0078422{col 67}{space 3} .2444485
{txt}{space 9}11  {c |}{col 14}{res}{space 2} -.072616{col 26}{space 2} .0058927{col 37}{space 1}  -12.32{col 46}{space 3}0.000{col 54}{space 4}-.0845557{col 67}{space 3}-.0606762
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.1692503{col 26}{space 2}  .003311{col 37}{space 1}  -51.12{col 46}{space 3}0.000{col 54}{space 4} -.175959{col 67}{space 3}-.1625417
{txt}{space 9}13  {c |}{col 14}{res}{space 2} .0639772{col 26}{space 2} .0139131{col 37}{space 1}    4.60{col 46}{space 3}0.000{col 54}{space 4} .0357867{col 67}{space 3} .0921678
{txt}{space 9}15  {c |}{col 14}{res}{space 2}-.1150661{col 26}{space 2} .0114197{col 37}{space 1}  -10.08{col 46}{space 3}0.000{col 54}{space 4}-.1382046{col 67}{space 3}-.0919277
{txt}{space 9}16  {c |}{col 14}{res}{space 2} .0166209{col 26}{space 2} .0322977{col 37}{space 1}    0.51{col 46}{space 3}0.610{col 54}{space 4}-.0488205{col 67}{space 3} .0820623
{txt}{space 9}17  {c |}{col 14}{res}{space 2} .0485497{col 26}{space 2} .0130321{col 37}{space 1}    3.73{col 46}{space 3}0.001{col 54}{space 4}  .022144{col 67}{space 3} .0749553
{txt}{space 9}19  {c |}{col 14}{res}{space 2} .0186058{col 26}{space 2}  .033071{col 37}{space 1}    0.56{col 46}{space 3}0.577{col 54}{space 4}-.0484025{col 67}{space 3}  .085614
{txt}{space 9}21  {c |}{col 14}{res}{space 2} .0024158{col 26}{space 2}  .006476{col 37}{space 1}    0.37{col 46}{space 3}0.711{col 54}{space 4}-.0107058{col 67}{space 3} .0155374
{txt}{space 9}22  {c |}{col 14}{res}{space 2} .0066535{col 26}{space 2} .0197662{col 37}{space 1}    0.34{col 46}{space 3}0.738{col 54}{space 4}-.0333967{col 67}{space 3} .0467036
{txt}{space 9}24  {c |}{col 14}{res}{space 2}-.0522677{col 26}{space 2} .0190657{col 37}{space 1}   -2.74{col 46}{space 3}0.009{col 54}{space 4}-.0908984{col 67}{space 3}-.0136369
{txt}{space 9}26  {c |}{col 14}{res}{space 2}-.0387048{col 26}{space 2} .0196156{col 37}{space 1}   -1.97{col 46}{space 3}0.056{col 54}{space 4}-.0784498{col 67}{space 3} .0010402
{txt}{space 9}28  {c |}{col 14}{res}{space 2}-.0514042{col 26}{space 2} .0192159{col 37}{space 1}   -2.68{col 46}{space 3}0.011{col 54}{space 4}-.0903393{col 67}{space 3}-.0124691
{txt}{space 9}30  {c |}{col 14}{res}{space 2} .0513237{col 26}{space 2} .0151673{col 37}{space 1}    3.38{col 46}{space 3}0.002{col 54}{space 4} .0205919{col 67}{space 3} .0820555
{txt}{space 9}31  {c |}{col 14}{res}{space 2}-.1965767{col 26}{space 2} .0448423{col 37}{space 1}   -4.38{col 46}{space 3}0.000{col 54}{space 4}-.2874358{col 67}{space 3}-.1057175
{txt}{space 9}32  {c |}{col 14}{res}{space 2} .1102773{col 26}{space 2} .0210888{col 37}{space 1}    5.23{col 46}{space 3}0.000{col 54}{space 4} .0675472{col 67}{space 3} .1530073
{txt}{space 9}33  {c |}{col 14}{res}{space 2} .1291247{col 26}{space 2} .0459799{col 37}{space 1}    2.81{col 46}{space 3}0.008{col 54}{space 4} .0359606{col 67}{space 3} .2222889
{txt}{space 9}34  {c |}{col 14}{res}{space 2} .0137032{col 26}{space 2} .0243679{col 37}{space 1}    0.56{col 46}{space 3}0.577{col 54}{space 4}-.0356708{col 67}{space 3} .0630773
{txt}{space 9}35  {c |}{col 14}{res}{space 2}  .042067{col 26}{space 2}  .045249{col 37}{space 1}    0.93{col 46}{space 3}0.359{col 54}{space 4}-.0496163{col 67}{space 3} .1337502
{txt}{space 9}36  {c |}{col 14}{res}{space 2} .0454347{col 26}{space 2} .0254106{col 37}{space 1}    1.79{col 46}{space 3}0.082{col 54}{space 4}-.0060521{col 67}{space 3} .0969215
{txt}{space 9}37  {c |}{col 14}{res}{space 2}-.0108588{col 26}{space 2} .0340199{col 37}{space 1}   -0.32{col 46}{space 3}0.751{col 54}{space 4}-.0797896{col 67}{space 3}  .058072
{txt}{space 9}38  {c |}{col 14}{res}{space 2}  .078977{col 26}{space 2}  .039129{col 37}{space 1}    2.02{col 46}{space 3}0.051{col 54}{space 4}-.0003058{col 67}{space 3} .1582598
{txt}{space 9}39  {c |}{col 14}{res}{space 2} .0063267{col 26}{space 2} .0439704{col 37}{space 1}    0.14{col 46}{space 3}0.886{col 54}{space 4}-.0827659{col 67}{space 3} .0954192
{txt}{space 9}40  {c |}{col 14}{res}{space 2}-.0348912{col 26}{space 2} .0375776{col 37}{space 1}   -0.93{col 46}{space 3}0.359{col 54}{space 4}-.1110307{col 67}{space 3} .0412482
{txt}{space 9}41  {c |}{col 14}{res}{space 2} .0909368{col 26}{space 2} .0425342{col 37}{space 1}    2.14{col 46}{space 3}0.039{col 54}{space 4} .0047543{col 67}{space 3} .1771193
{txt}{space 9}42  {c |}{col 14}{res}{space 2}-.1083926{col 26}{space 2} .0306038{col 37}{space 1}   -3.54{col 46}{space 3}0.001{col 54}{space 4}-.1704018{col 67}{space 3}-.0463835
{txt}{space 9}43  {c |}{col 14}{res}{space 2} .0448911{col 26}{space 2} .0283314{col 37}{space 1}    1.58{col 46}{space 3}0.122{col 54}{space 4}-.0125138{col 67}{space 3} .1022959
{txt}{space 9}44  {c |}{col 14}{res}{space 2} .0312181{col 26}{space 2} .0406402{col 37}{space 1}    0.77{col 46}{space 3}0.447{col 54}{space 4}-.0511266{col 67}{space 3} .1135629
{txt}{space 9}45  {c |}{col 14}{res}{space 2}-.0727271{col 26}{space 2} .0256185{col 37}{space 1}   -2.84{col 46}{space 3}0.007{col 54}{space 4}-.1246351{col 67}{space 3}-.0208191
{txt}{space 9}46  {c |}{col 14}{res}{space 2}-.0829746{col 26}{space 2} .0372895{col 37}{space 1}   -2.23{col 46}{space 3}0.032{col 54}{space 4}-.1585303{col 67}{space 3}-.0074189
{txt}{space 9}47  {c |}{col 14}{res}{space 2}-.3179765{col 26}{space 2} .0416608{col 37}{space 1}   -7.63{col 46}{space 3}0.000{col 54}{space 4}-.4023893{col 67}{space 3}-.2335637
{txt}{space 9}50  {c |}{col 14}{res}{space 2} .0049546{col 26}{space 2} .0232008{col 37}{space 1}    0.21{col 46}{space 3}0.832{col 54}{space 4}-.0420548{col 67}{space 3}  .051964
{txt}{space 9}51  {c |}{col 14}{res}{space 2} .4659974{col 26}{space 2} .1817964{col 37}{space 1}    2.56{col 46}{space 3}0.015{col 54}{space 4}  .097643{col 67}{space 3} .8343519
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 1.948546{col 26}{space 2} .1811519{col 37}{space 1}   10.76{col 46}{space 3}0.000{col 54}{space 4} 1.581497{col 67}{space 3} 2.315595
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store h

. 
. reg ENP_cst c.logdis   popmillion vv1million   i.dummies if south==0&yr<1975&dummies!=48&dummies!=49, cluster(dummies)

{txt}Linear regression                               Number of obs     = {res}    18,254
                                                {txt}{help j_robustsingular:F(2, 37) }         =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0615
                                                {txt}Root MSE          =    {res} .31052

{txt}{ralign 78:(Std. err. adjusted for {res:38} clusters in {res:dummies})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     ENP_cst{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}logdist {c |}{col 14}{res}{space 2} .0093502{col 26}{space 2} .0285451{col 37}{space 1}    0.33{col 46}{space 3}0.745{col 54}{space 4}-.0484877{col 67}{space 3} .0671881
{txt}{space 2}popmillion {c |}{col 14}{res}{space 2}-.0100089{col 26}{space 2} .0061247{col 37}{space 1}   -1.63{col 46}{space 3}0.111{col 54}{space 4}-.0224188{col 67}{space 3}  .002401
{txt}{space 2}vv1million {c |}{col 14}{res}{space 2} .0089637{col 26}{space 2} .0078143{col 37}{space 1}    1.15{col 46}{space 3}0.259{col 54}{space 4}-.0068696{col 67}{space 3}  .024797
{txt}{space 12} {c |}
{space 5}dummies {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0749378{col 26}{space 2} .0653895{col 37}{space 1}    1.15{col 46}{space 3}0.259{col 54}{space 4}-.0575539{col 67}{space 3} .2074294
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0509915{col 26}{space 2} .0448559{col 37}{space 1}    1.14{col 46}{space 3}0.263{col 54}{space 4}-.0398952{col 67}{space 3} .1418781
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.0311852{col 26}{space 2} .0736942{col 37}{space 1}   -0.42{col 46}{space 3}0.675{col 54}{space 4}-.1805039{col 67}{space 3} .1181335
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .0357041{col 26}{space 2} .0420525{col 37}{space 1}    0.85{col 46}{space 3}0.401{col 54}{space 4}-.0495024{col 67}{space 3} .1209107
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .1951387{col 26}{space 2} .0645285{col 37}{space 1}    3.02{col 46}{space 3}0.005{col 54}{space 4} .0643916{col 67}{space 3} .3258857
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.0662995{col 26}{space 2} .0062885{col 37}{space 1}  -10.54{col 46}{space 3}0.000{col 54}{space 4}-.0790413{col 67}{space 3}-.0535577
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.1413739{col 26}{space 2} .0030221{col 37}{space 1}  -46.78{col 46}{space 3}0.000{col 54}{space 4}-.1474973{col 67}{space 3}-.1352505
{txt}{space 9}13  {c |}{col 14}{res}{space 2} .0673006{col 26}{space 2} .0159868{col 37}{space 1}    4.21{col 46}{space 3}0.000{col 54}{space 4} .0349082{col 67}{space 3} .0996929
{txt}{space 9}15  {c |}{col 14}{res}{space 2}-.0895922{col 26}{space 2} .0096988{col 37}{space 1}   -9.24{col 46}{space 3}0.000{col 54}{space 4}-.1092438{col 67}{space 3}-.0699406
{txt}{space 9}16  {c |}{col 14}{res}{space 2}  .036132{col 26}{space 2} .0344147{col 37}{space 1}    1.05{col 46}{space 3}0.301{col 54}{space 4}-.0335989{col 67}{space 3} .1058628
{txt}{space 9}17  {c |}{col 14}{res}{space 2}  .067437{col 26}{space 2} .0106485{col 37}{space 1}    6.33{col 46}{space 3}0.000{col 54}{space 4}  .045861{col 67}{space 3}  .089013
{txt}{space 9}19  {c |}{col 14}{res}{space 2} .0332547{col 26}{space 2} .0277346{col 37}{space 1}    1.20{col 46}{space 3}0.238{col 54}{space 4}-.0229408{col 67}{space 3} .0894503
{txt}{space 9}21  {c |}{col 14}{res}{space 2} .0154684{col 26}{space 2} .0061078{col 37}{space 1}    2.53{col 46}{space 3}0.016{col 54}{space 4} .0030927{col 67}{space 3}  .027844
{txt}{space 9}22  {c |}{col 14}{res}{space 2} .0219301{col 26}{space 2} .0133525{col 37}{space 1}    1.64{col 46}{space 3}0.109{col 54}{space 4}-.0051246{col 67}{space 3} .0489849
{txt}{space 9}24  {c |}{col 14}{res}{space 2}-.0701091{col 26}{space 2} .0187128{col 37}{space 1}   -3.75{col 46}{space 3}0.001{col 54}{space 4}-.1080248{col 67}{space 3}-.0321935
{txt}{space 9}26  {c |}{col 14}{res}{space 2} -.030721{col 26}{space 2} .0220423{col 37}{space 1}   -1.39{col 46}{space 3}0.172{col 54}{space 4} -.075383{col 67}{space 3} .0139409
{txt}{space 9}28  {c |}{col 14}{res}{space 2}-.0224957{col 26}{space 2} .0155092{col 37}{space 1}   -1.45{col 46}{space 3}0.155{col 54}{space 4}-.0539204{col 67}{space 3}  .008929
{txt}{space 9}30  {c |}{col 14}{res}{space 2} .0401977{col 26}{space 2} .0108743{col 37}{space 1}    3.70{col 46}{space 3}0.001{col 54}{space 4} .0181644{col 67}{space 3} .0622311
{txt}{space 9}31  {c |}{col 14}{res}{space 2}-.1175861{col 26}{space 2} .0423299{col 37}{space 1}   -2.78{col 46}{space 3}0.009{col 54}{space 4}-.2033545{col 67}{space 3}-.0318176
{txt}{space 9}32  {c |}{col 14}{res}{space 2} .0821241{col 26}{space 2} .0174062{col 37}{space 1}    4.72{col 46}{space 3}0.000{col 54}{space 4} .0468558{col 67}{space 3} .1173925
{txt}{space 9}33  {c |}{col 14}{res}{space 2} .0485326{col 26}{space 2} .0455085{col 37}{space 1}    1.07{col 46}{space 3}0.293{col 54}{space 4}-.0436764{col 67}{space 3} .1407415
{txt}{space 9}34  {c |}{col 14}{res}{space 2} .0245221{col 26}{space 2} .0223915{col 37}{space 1}    1.10{col 46}{space 3}0.281{col 54}{space 4}-.0208474{col 67}{space 3} .0698916
{txt}{space 9}35  {c |}{col 14}{res}{space 2}   .01683{col 26}{space 2} .0465216{col 37}{space 1}    0.36{col 46}{space 3}0.720{col 54}{space 4}-.0774317{col 67}{space 3} .1110917
{txt}{space 9}36  {c |}{col 14}{res}{space 2} .0445759{col 26}{space 2}  .024593{col 37}{space 1}    1.81{col 46}{space 3}0.078{col 54}{space 4}-.0052543{col 67}{space 3} .0944061
{txt}{space 9}37  {c |}{col 14}{res}{space 2}-.0013473{col 26}{space 2} .0331914{col 37}{space 1}   -0.04{col 46}{space 3}0.968{col 54}{space 4}-.0685995{col 67}{space 3} .0659048
{txt}{space 9}38  {c |}{col 14}{res}{space 2} .0392675{col 26}{space 2} .0398097{col 37}{space 1}    0.99{col 46}{space 3}0.330{col 54}{space 4}-.0413946{col 67}{space 3} .1199296
{txt}{space 9}39  {c |}{col 14}{res}{space 2}-.0287755{col 26}{space 2} .0414846{col 37}{space 1}   -0.69{col 46}{space 3}0.492{col 54}{space 4}-.1128314{col 67}{space 3} .0552803
{txt}{space 9}40  {c |}{col 14}{res}{space 2}-.0211457{col 26}{space 2} .0385756{col 37}{space 1}   -0.55{col 46}{space 3}0.587{col 54}{space 4}-.0993074{col 67}{space 3}  .057016
{txt}{space 9}41  {c |}{col 14}{res}{space 2} .0509214{col 26}{space 2}  .043208{col 37}{space 1}    1.18{col 46}{space 3}0.246{col 54}{space 4}-.0366263{col 67}{space 3} .1384692
{txt}{space 9}42  {c |}{col 14}{res}{space 2}-.0932945{col 26}{space 2} .0309271{col 37}{space 1}   -3.02{col 46}{space 3}0.005{col 54}{space 4}-.1559588{col 67}{space 3}-.0306302
{txt}{space 9}43  {c |}{col 14}{res}{space 2} .0231186{col 26}{space 2} .0283404{col 37}{space 1}    0.82{col 46}{space 3}0.420{col 54}{space 4}-.0343044{col 67}{space 3} .0805416
{txt}{space 9}44  {c |}{col 14}{res}{space 2} .0216224{col 26}{space 2} .0410532{col 37}{space 1}    0.53{col 46}{space 3}0.602{col 54}{space 4}-.0615593{col 67}{space 3} .1048041
{txt}{space 9}45  {c |}{col 14}{res}{space 2}-.0850922{col 26}{space 2}  .022087{col 37}{space 1}   -3.85{col 46}{space 3}0.000{col 54}{space 4}-.1298447{col 67}{space 3}-.0403397
{txt}{space 9}46  {c |}{col 14}{res}{space 2}-.0637135{col 26}{space 2} .0374074{col 37}{space 1}   -1.70{col 46}{space 3}0.097{col 54}{space 4} -.139508{col 67}{space 3} .0120811
{txt}{space 9}47  {c |}{col 14}{res}{space 2}-.1563976{col 26}{space 2} .0403482{col 37}{space 1}   -3.88{col 46}{space 3}0.000{col 54}{space 4}-.2381509{col 67}{space 3}-.0746443
{txt}{space 9}50  {c |}{col 14}{res}{space 2}-.0038608{col 26}{space 2} .0246592{col 37}{space 1}   -0.16{col 46}{space 3}0.876{col 54}{space 4}-.0538251{col 67}{space 3} .0461036
{txt}{space 9}51  {c |}{col 14}{res}{space 2}  .364397{col 26}{space 2} .1879676{col 37}{space 1}    1.94{col 46}{space 3}0.060{col 54}{space 4}-.0164614{col 67}{space 3} .7452555
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 1.954865{col 26}{space 2} .1850953{col 37}{space 1}   10.56{col 46}{space 3}0.000{col 54}{space 4} 1.579827{col 67}{space 3} 2.329904
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store i

. 
. reg ENP_cst c.logdis    popmillion vv1million   i.dummies if south==0&yr<2000&dummies!=48&dummies!=49, cluster(dummies)

{txt}Linear regression                               Number of obs     = {res}    21,958
                                                {txt}{help j_robustsingular:F(2, 37) }         =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0671
                                                {txt}Root MSE          =    {res} .31445

{txt}{ralign 78:(Std. err. adjusted for {res:38} clusters in {res:dummies})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     ENP_cst{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}logdist {c |}{col 14}{res}{space 2} .0159832{col 26}{space 2} .0259721{col 37}{space 1}    0.62{col 46}{space 3}0.542{col 54}{space 4}-.0366413{col 67}{space 3} .0686078
{txt}{space 2}popmillion {c |}{col 14}{res}{space 2}-.0080117{col 26}{space 2} .0057731{col 37}{space 1}   -1.39{col 46}{space 3}0.174{col 54}{space 4}-.0197092{col 67}{space 3} .0036857
{txt}{space 2}vv1million {c |}{col 14}{res}{space 2} .0009457{col 26}{space 2} .0121565{col 37}{space 1}    0.08{col 46}{space 3}0.938{col 54}{space 4}-.0236858{col 67}{space 3} .0255771
{txt}{space 12} {c |}
{space 5}dummies {c |}
{space 10}2  {c |}{col 14}{res}{space 2}  .057394{col 26}{space 2}  .061965{col 37}{space 1}    0.93{col 46}{space 3}0.360{col 54}{space 4} -.068159{col 67}{space 3} .1829471
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0516005{col 26}{space 2} .0409227{col 37}{space 1}    1.26{col 46}{space 3}0.215{col 54}{space 4}-.0313168{col 67}{space 3} .1345177
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.0434105{col 26}{space 2} .0684846{col 37}{space 1}   -0.63{col 46}{space 3}0.530{col 54}{space 4}-.1821734{col 67}{space 3} .0953525
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .0205993{col 26}{space 2} .0414037{col 37}{space 1}    0.50{col 46}{space 3}0.622{col 54}{space 4}-.0632924{col 67}{space 3} .1044911
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .2066932{col 26}{space 2} .0656649{col 37}{space 1}    3.15{col 46}{space 3}0.003{col 54}{space 4} .0736435{col 67}{space 3}  .339743
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.0661744{col 26}{space 2} .0057478{col 37}{space 1}  -11.51{col 46}{space 3}0.000{col 54}{space 4}-.0778205{col 67}{space 3}-.0545283
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.1207834{col 26}{space 2} .0026157{col 37}{space 1}  -46.18{col 46}{space 3}0.000{col 54}{space 4}-.1260833{col 67}{space 3}-.1154835
{txt}{space 9}13  {c |}{col 14}{res}{space 2} .0681931{col 26}{space 2}  .015718{col 37}{space 1}    4.34{col 46}{space 3}0.000{col 54}{space 4} .0363454{col 67}{space 3} .1000408
{txt}{space 9}15  {c |}{col 14}{res}{space 2}-.1005449{col 26}{space 2}  .009655{col 37}{space 1}  -10.41{col 46}{space 3}0.000{col 54}{space 4}-.1201077{col 67}{space 3}-.0809821
{txt}{space 9}16  {c |}{col 14}{res}{space 2} .0176095{col 26}{space 2} .0357408{col 37}{space 1}    0.49{col 46}{space 3}0.625{col 54}{space 4}-.0548084{col 67}{space 3} .0900273
{txt}{space 9}17  {c |}{col 14}{res}{space 2} .0558979{col 26}{space 2} .0121673{col 37}{space 1}    4.59{col 46}{space 3}0.000{col 54}{space 4} .0312447{col 67}{space 3} .0805511
{txt}{space 9}19  {c |}{col 14}{res}{space 2} -.004633{col 26}{space 2} .0315691{col 37}{space 1}   -0.15{col 46}{space 3}0.884{col 54}{space 4} -.068598{col 67}{space 3}  .059332
{txt}{space 9}21  {c |}{col 14}{res}{space 2} .0152519{col 26}{space 2} .0057896{col 37}{space 1}    2.63{col 46}{space 3}0.012{col 54}{space 4}  .003521{col 67}{space 3} .0269827
{txt}{space 9}22  {c |}{col 14}{res}{space 2} .0092161{col 26}{space 2} .0142009{col 37}{space 1}    0.65{col 46}{space 3}0.520{col 54}{space 4}-.0195578{col 67}{space 3}   .03799
{txt}{space 9}24  {c |}{col 14}{res}{space 2} -.102339{col 26}{space 2} .0189403{col 37}{space 1}   -5.40{col 46}{space 3}0.000{col 54}{space 4}-.1407158{col 67}{space 3}-.0639623
{txt}{space 9}26  {c |}{col 14}{res}{space 2}-.0568929{col 26}{space 2} .0266137{col 37}{space 1}   -2.14{col 46}{space 3}0.039{col 54}{space 4}-.1108174{col 67}{space 3}-.0029684
{txt}{space 9}28  {c |}{col 14}{res}{space 2}-.0334563{col 26}{space 2} .0149941{col 37}{space 1}   -2.23{col 46}{space 3}0.032{col 54}{space 4}-.0638373{col 67}{space 3}-.0030753
{txt}{space 9}30  {c |}{col 14}{res}{space 2}-.0012373{col 26}{space 2} .0118977{col 37}{space 1}   -0.10{col 46}{space 3}0.918{col 54}{space 4}-.0253443{col 67}{space 3} .0228698
{txt}{space 9}31  {c |}{col 14}{res}{space 2} -.063004{col 26}{space 2}   .07196{col 37}{space 1}   -0.88{col 46}{space 3}0.387{col 54}{space 4}-.2088088{col 67}{space 3} .0828008
{txt}{space 9}32  {c |}{col 14}{res}{space 2}  .047882{col 26}{space 2}  .016699{col 37}{space 1}    2.87{col 46}{space 3}0.007{col 54}{space 4} .0140465{col 67}{space 3} .0817174
{txt}{space 9}33  {c |}{col 14}{res}{space 2}-.0148255{col 26}{space 2} .0404402{col 37}{space 1}   -0.37{col 46}{space 3}0.716{col 54}{space 4}-.0967651{col 67}{space 3} .0671141
{txt}{space 9}34  {c |}{col 14}{res}{space 2} .0028528{col 26}{space 2} .0207086{col 37}{space 1}    0.14{col 46}{space 3}0.891{col 54}{space 4}-.0391069{col 67}{space 3} .0448125
{txt}{space 9}35  {c |}{col 14}{res}{space 2} .0064834{col 26}{space 2} .0416168{col 37}{space 1}    0.16{col 46}{space 3}0.877{col 54}{space 4}-.0778402{col 67}{space 3}  .090807
{txt}{space 9}36  {c |}{col 14}{res}{space 2} .0058019{col 26}{space 2} .0225924{col 37}{space 1}    0.26{col 46}{space 3}0.799{col 54}{space 4}-.0399745{col 67}{space 3} .0515784
{txt}{space 9}37  {c |}{col 14}{res}{space 2}-.0349202{col 26}{space 2} .0289793{col 37}{space 1}   -1.21{col 46}{space 3}0.236{col 54}{space 4}-.0936378{col 67}{space 3} .0237975
{txt}{space 9}38  {c |}{col 14}{res}{space 2}  .022828{col 26}{space 2} .0362515{col 37}{space 1}    0.63{col 46}{space 3}0.533{col 54}{space 4}-.0506246{col 67}{space 3} .0962805
{txt}{space 9}39  {c |}{col 14}{res}{space 2}-.0603024{col 26}{space 2} .0368116{col 37}{space 1}   -1.64{col 46}{space 3}0.110{col 54}{space 4}-.1348898{col 67}{space 3} .0142849
{txt}{space 9}40  {c |}{col 14}{res}{space 2}-.0378375{col 26}{space 2} .0350104{col 37}{space 1}   -1.08{col 46}{space 3}0.287{col 54}{space 4}-.1087752{col 67}{space 3} .0331002
{txt}{space 9}41  {c |}{col 14}{res}{space 2} .0195234{col 26}{space 2} .0390305{col 37}{space 1}    0.50{col 46}{space 3}0.620{col 54}{space 4}-.0595599{col 67}{space 3} .0986066
{txt}{space 9}42  {c |}{col 14}{res}{space 2}-.0989114{col 26}{space 2} .0279496{col 37}{space 1}   -3.54{col 46}{space 3}0.001{col 54}{space 4}-.1555427{col 67}{space 3}-.0422801
{txt}{space 9}43  {c |}{col 14}{res}{space 2}-.0005296{col 26}{space 2} .0257774{col 37}{space 1}   -0.02{col 46}{space 3}0.984{col 54}{space 4}-.0527597{col 67}{space 3} .0517004
{txt}{space 9}44  {c |}{col 14}{res}{space 2}-.0024826{col 26}{space 2} .0363735{col 37}{space 1}   -0.07{col 46}{space 3}0.946{col 54}{space 4}-.0761824{col 67}{space 3} .0712172
{txt}{space 9}45  {c |}{col 14}{res}{space 2}-.1070177{col 26}{space 2} .0207092{col 37}{space 1}   -5.17{col 46}{space 3}0.000{col 54}{space 4}-.1489786{col 67}{space 3}-.0650568
{txt}{space 9}46  {c |}{col 14}{res}{space 2}-.0965917{col 26}{space 2} .0327396{col 37}{space 1}   -2.95{col 46}{space 3}0.005{col 54}{space 4}-.1629285{col 67}{space 3} -.030255
{txt}{space 9}47  {c |}{col 14}{res}{space 2}-.1549386{col 26}{space 2} .0341883{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.2242108{col 67}{space 3}-.0856665
{txt}{space 9}50  {c |}{col 14}{res}{space 2}-.0103421{col 26}{space 2} .0223723{col 37}{space 1}   -0.46{col 46}{space 3}0.647{col 54}{space 4}-.0556726{col 67}{space 3} .0349884
{txt}{space 9}51  {c |}{col 14}{res}{space 2} .4204881{col 26}{space 2} .1716721{col 37}{space 1}    2.45{col 46}{space 3}0.019{col 54}{space 4} .0726474{col 67}{space 3} .7683287
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 1.900284{col 26}{space 2} .1681915{col 37}{space 1}   11.30{col 46}{space 3}0.000{col 54}{space 4} 1.559495{col 67}{space 3} 2.241072
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store j

. 
. reg ENP_cst c.logdis   popmillion vv1million   i.dummies if south==0&yr<2020&dummies!=48&dummies!=49, cluster(dummies)

{txt}Linear regression                               Number of obs     = {res}    24,631
                                                {txt}{help j_robustsingular:F(2, 37) }         =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0817
                                                {txt}Root MSE          =    {res} .31465

{txt}{ralign 78:(Std. err. adjusted for {res:38} clusters in {res:dummies})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     ENP_cst{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}logdist {c |}{col 14}{res}{space 2} .0298533{col 26}{space 2} .0210919{col 37}{space 1}    1.42{col 46}{space 3}0.165{col 54}{space 4}-.0128828{col 67}{space 3} .0725895
{txt}{space 2}popmillion {c |}{col 14}{res}{space 2}-.0063533{col 26}{space 2} .0048248{col 37}{space 1}   -1.32{col 46}{space 3}0.196{col 54}{space 4}-.0161293{col 67}{space 3} .0034227
{txt}{space 2}vv1million {c |}{col 14}{res}{space 2}-.0005004{col 26}{space 2} .0147697{col 37}{space 1}   -0.03{col 46}{space 3}0.973{col 54}{space 4}-.0304267{col 67}{space 3} .0294259
{txt}{space 12} {c |}
{space 5}dummies {c |}
{space 10}2  {c |}{col 14}{res}{space 2}  .038032{col 26}{space 2} .0519796{col 37}{space 1}    0.73{col 46}{space 3}0.469{col 54}{space 4}-.0672887{col 67}{space 3} .1433527
{txt}{space 10}4  {c |}{col 14}{res}{space 2}  .055556{col 26}{space 2} .0332622{col 37}{space 1}    1.67{col 46}{space 3}0.103{col 54}{space 4}-.0118396{col 67}{space 3} .1229516
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.0354829{col 26}{space 2} .0566969{col 37}{space 1}   -0.63{col 46}{space 3}0.535{col 54}{space 4}-.1503617{col 67}{space 3} .0793959
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .0040132{col 26}{space 2} .0356631{col 37}{space 1}    0.11{col 46}{space 3}0.911{col 54}{space 4}-.0682472{col 67}{space 3} .0762735
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .2172209{col 26}{space 2} .0573462{col 37}{space 1}    3.79{col 46}{space 3}0.001{col 54}{space 4} .1010264{col 67}{space 3} .3334153
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.0710047{col 26}{space 2} .0046096{col 37}{space 1}  -15.40{col 46}{space 3}0.000{col 54}{space 4}-.0803446{col 67}{space 3}-.0616648
{txt}{space 9}12  {c |}{col 14}{res}{space 2} -.131624{col 26}{space 2} .0021327{col 37}{space 1}  -61.72{col 46}{space 3}0.000{col 54}{space 4}-.1359453{col 67}{space 3}-.1273027
{txt}{space 9}13  {c |}{col 14}{res}{space 2} .0592644{col 26}{space 2} .0134331{col 37}{space 1}    4.41{col 46}{space 3}0.000{col 54}{space 4} .0320463{col 67}{space 3} .0864824
{txt}{space 9}15  {c |}{col 14}{res}{space 2}-.1172888{col 26}{space 2} .0083116{col 37}{space 1}  -14.11{col 46}{space 3}0.000{col 54}{space 4}-.1341297{col 67}{space 3}-.1004479
{txt}{space 9}16  {c |}{col 14}{res}{space 2}-.0025707{col 26}{space 2} .0315015{col 37}{space 1}   -0.08{col 46}{space 3}0.935{col 54}{space 4}-.0663988{col 67}{space 3} .0612573
{txt}{space 9}17  {c |}{col 14}{res}{space 2} .0353544{col 26}{space 2} .0112803{col 37}{space 1}    3.13{col 46}{space 3}0.003{col 54}{space 4} .0124984{col 67}{space 3} .0582104
{txt}{space 9}19  {c |}{col 14}{res}{space 2}-.0458643{col 26}{space 2} .0293014{col 37}{space 1}   -1.57{col 46}{space 3}0.126{col 54}{space 4}-.1052345{col 67}{space 3} .0135059
{txt}{space 9}21  {c |}{col 14}{res}{space 2} .0020313{col 26}{space 2} .0048175{col 37}{space 1}    0.42{col 46}{space 3}0.676{col 54}{space 4}-.0077299{col 67}{space 3} .0117925
{txt}{space 9}22  {c |}{col 14}{res}{space 2}-.0225929{col 26}{space 2}  .012644{col 37}{space 1}   -1.79{col 46}{space 3}0.082{col 54}{space 4}-.0482121{col 67}{space 3} .0030263
{txt}{space 9}24  {c |}{col 14}{res}{space 2}-.1205672{col 26}{space 2} .0164886{col 37}{space 1}   -7.31{col 46}{space 3}0.000{col 54}{space 4}-.1539762{col 67}{space 3}-.0871581
{txt}{space 9}26  {c |}{col 14}{res}{space 2}-.0757889{col 26}{space 2}  .024744{col 37}{space 1}   -3.06{col 46}{space 3}0.004{col 54}{space 4} -.125925{col 67}{space 3}-.0256529
{txt}{space 9}28  {c |}{col 14}{res}{space 2}-.0528139{col 26}{space 2} .0124718{col 37}{space 1}   -4.23{col 46}{space 3}0.000{col 54}{space 4}-.0780841{col 67}{space 3}-.0275437
{txt}{space 9}30  {c |}{col 14}{res}{space 2}-.0391065{col 26}{space 2} .0108127{col 37}{space 1}   -3.62{col 46}{space 3}0.001{col 54}{space 4}-.0610152{col 67}{space 3}-.0171978
{txt}{space 9}31  {c |}{col 14}{res}{space 2}-.1102107{col 26}{space 2} .0830087{col 37}{space 1}   -1.33{col 46}{space 3}0.192{col 54}{space 4}-.2784023{col 67}{space 3} .0579809
{txt}{space 9}32  {c |}{col 14}{res}{space 2} .0210772{col 26}{space 2} .0143035{col 37}{space 1}    1.47{col 46}{space 3}0.149{col 54}{space 4}-.0079043{col 67}{space 3} .0500588
{txt}{space 9}33  {c |}{col 14}{res}{space 2}-.0622724{col 26}{space 2} .0322713{col 37}{space 1}   -1.93{col 46}{space 3}0.061{col 54}{space 4}-.1276602{col 67}{space 3} .0031154
{txt}{space 9}34  {c |}{col 14}{res}{space 2}-.0321604{col 26}{space 2} .0169196{col 37}{space 1}   -1.90{col 46}{space 3}0.065{col 54}{space 4}-.0664428{col 67}{space 3}  .002122
{txt}{space 9}35  {c |}{col 14}{res}{space 2}-.0021324{col 26}{space 2} .0323994{col 37}{space 1}   -0.07{col 46}{space 3}0.948{col 54}{space 4}-.0677799{col 67}{space 3}  .063515
{txt}{space 9}36  {c |}{col 14}{res}{space 2}-.0419519{col 26}{space 2} .0184143{col 37}{space 1}   -2.28{col 46}{space 3}0.029{col 54}{space 4}-.0792627{col 67}{space 3} -.004641
{txt}{space 9}37  {c |}{col 14}{res}{space 2}-.0563029{col 26}{space 2}  .022782{col 37}{space 1}   -2.47{col 46}{space 3}0.018{col 54}{space 4}-.1024635{col 67}{space 3}-.0101423
{txt}{space 9}38  {c |}{col 14}{res}{space 2}-.0078173{col 26}{space 2} .0294817{col 37}{space 1}   -0.27{col 46}{space 3}0.792{col 54}{space 4}-.0675528{col 67}{space 3} .0519183
{txt}{space 9}39  {c |}{col 14}{res}{space 2}-.1151337{col 26}{space 2} .0295598{col 37}{space 1}   -3.89{col 46}{space 3}0.000{col 54}{space 4}-.1750275{col 67}{space 3}-.0552399
{txt}{space 9}40  {c |}{col 14}{res}{space 2}-.0619814{col 26}{space 2} .0284539{col 37}{space 1}   -2.18{col 46}{space 3}0.036{col 54}{space 4}-.1196344{col 67}{space 3}-.0043284
{txt}{space 9}41  {c |}{col 14}{res}{space 2}-.0308363{col 26}{space 2} .0314534{col 37}{space 1}   -0.98{col 46}{space 3}0.333{col 54}{space 4}-.0945669{col 67}{space 3} .0328943
{txt}{space 9}42  {c |}{col 14}{res}{space 2}-.1169874{col 26}{space 2} .0226938{col 37}{space 1}   -5.16{col 46}{space 3}0.000{col 54}{space 4}-.1629694{col 67}{space 3}-.0710055
{txt}{space 9}43  {c |}{col 14}{res}{space 2}-.0335332{col 26}{space 2} .0210277{col 37}{space 1}   -1.59{col 46}{space 3}0.119{col 54}{space 4}-.0761395{col 67}{space 3}  .009073
{txt}{space 9}44  {c |}{col 14}{res}{space 2}-.0444296{col 26}{space 2}  .028755{col 37}{space 1}   -1.55{col 46}{space 3}0.131{col 54}{space 4}-.1026928{col 67}{space 3} .0138336
{txt}{space 9}45  {c |}{col 14}{res}{space 2}-.1419137{col 26}{space 2} .0170832{col 37}{space 1}   -8.31{col 46}{space 3}0.000{col 54}{space 4}-.1765276{col 67}{space 3}-.1072999
{txt}{space 9}46  {c |}{col 14}{res}{space 2}-.1186287{col 26}{space 2} .0260741{col 37}{space 1}   -4.55{col 46}{space 3}0.000{col 54}{space 4}  -.17146{col 67}{space 3}-.0657975
{txt}{space 9}47  {c |}{col 14}{res}{space 2}-.1467188{col 26}{space 2} .0266007{col 37}{space 1}   -5.52{col 46}{space 3}0.000{col 54}{space 4} -.200617{col 67}{space 3}-.0928207
{txt}{space 9}50  {c |}{col 14}{res}{space 2}-.0257117{col 26}{space 2} .0181819{col 37}{space 1}   -1.41{col 46}{space 3}0.166{col 54}{space 4}-.0625518{col 67}{space 3} .0111283
{txt}{space 9}51  {c |}{col 14}{res}{space 2} .5014932{col 26}{space 2} .1397762{col 37}{space 1}    3.59{col 46}{space 3}0.001{col 54}{space 4} .2182797{col 67}{space 3} .7847067
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 1.818342{col 26}{space 2} .1363193{col 37}{space 1}   13.34{col 46}{space 3}0.000{col 54}{space 4} 1.542133{col 67}{space 3} 2.094552
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store k

. 
. coefplot c d e f h i j k  , keep ( logdist) yline(0) xlabel(0.61(0.11)1.38, grid) title("Non-South") ytitle("Coefficient on (the log of) distance") xlabel(0.61 "1850" 0.72 "1875" 0.83 "1900" 0.94 "1925" 1.06 "1950" 1.17 "1975" 1.28 "2000" 1.39 "2016")  legend(off) ciopts(lcolor(ebblue)) mcolor(ebblue) vert name(c2)
{res}
{com}. 
. graph combine c1 c2, saving("Figure 3_The_Effect_of_the_Distance_to_Washington")
{res}{txt}file {bf:Figure 3_The_Effect_of_the_Distance_to_Washington.gph} saved

{com}. 
. 
. 
. *Figure 4 

. 
. reg ENP_cst c.logdis   vv1million    popmillion i.dummies if yr>1849&yr<1875&dummies<32, cluster(dummies)

{txt}Linear regression                               Number of obs     = {res}     2,854
                                                {txt}{help j_robustsingular:F(2, 30) }         =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.1462
                                                {txt}Root MSE          =    {res}  .2985

{txt}{ralign 78:(Std. err. adjusted for {res:31} clusters in {res:dummies})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     ENP_cst{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}logdist {c |}{col 14}{res}{space 2} -.000603{col 26}{space 2} .0185601{col 37}{space 1}   -0.03{col 46}{space 3}0.974{col 54}{space 4}-.0385078{col 67}{space 3} .0373018
{txt}{space 2}vv1million {c |}{col 14}{res}{space 2} .3260065{col 26}{space 2} .2213846{col 37}{space 1}    1.47{col 46}{space 3}0.151{col 54}{space 4}-.1261212{col 67}{space 3} .7781341
{txt}{space 2}popmillion {c |}{col 14}{res}{space 2}-.1168545{col 26}{space 2} .0591656{col 37}{space 1}   -1.98{col 46}{space 3}0.058{col 54}{space 4}-.2376868{col 67}{space 3} .0039779
{txt}{space 12} {c |}
{space 5}dummies {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .2576558{col 26}{space 2} .1378962{col 37}{space 1}    1.87{col 46}{space 3}0.071{col 54}{space 4}-.0239658{col 67}{space 3} .5392773
{txt}{space 10}3  {c |}{col 14}{res}{space 2} -.223038{col 26}{space 2} .0215073{col 37}{space 1}  -10.37{col 46}{space 3}0.000{col 54}{space 4}-.2669618{col 67}{space 3}-.1791141
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.0193241{col 26}{space 2} .0376073{col 37}{space 1}   -0.51{col 46}{space 3}0.611{col 54}{space 4}-.0961285{col 67}{space 3} .0574804
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.0441684{col 26}{space 2} .0445663{col 37}{space 1}   -0.99{col 46}{space 3}0.330{col 54}{space 4}-.1351849{col 67}{space 3} .0468482
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.0908948{col 26}{space 2} .0397605{col 37}{space 1}   -2.29{col 46}{space 3}0.029{col 54}{space 4}-.1720966{col 67}{space 3} -.009693
{txt}{space 10}7  {c |}{col 14}{res}{space 2}  .050588{col 26}{space 2} .0192713{col 37}{space 1}    2.63{col 46}{space 3}0.014{col 54}{space 4} .0112308{col 67}{space 3} .0899452
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .4622981{col 26}{space 2} .1940421{col 37}{space 1}    2.38{col 46}{space 3}0.024{col 54}{space 4} .0660112{col 67}{space 3}  .858585
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .0399319{col 26}{space 2} .0547479{col 37}{space 1}    0.73{col 46}{space 3}0.471{col 54}{space 4}-.0718781{col 67}{space 3}  .151742
{txt}{space 9}10  {c |}{col 14}{res}{space 2}-.2477142{col 26}{space 2} .0345185{col 37}{space 1}   -7.18{col 46}{space 3}0.000{col 54}{space 4}-.3182103{col 67}{space 3}-.1772181
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.1999784{col 26}{space 2} .0107451{col 37}{space 1}  -18.61{col 46}{space 3}0.000{col 54}{space 4}-.2219229{col 67}{space 3} -.178034
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.2048804{col 26}{space 2} .0027768{col 37}{space 1}  -73.78{col 46}{space 3}0.000{col 54}{space 4}-.2105513{col 67}{space 3}-.1992094
{txt}{space 9}13  {c |}{col 14}{res}{space 2} .0154669{col 26}{space 2} .0071845{col 37}{space 1}    2.15{col 46}{space 3}0.039{col 54}{space 4} .0007942{col 67}{space 3} .0301396
{txt}{space 9}14  {c |}{col 14}{res}{space 2}-.1096872{col 26}{space 2} .0496127{col 37}{space 1}   -2.21{col 46}{space 3}0.035{col 54}{space 4}-.2110098{col 67}{space 3}-.0083646
{txt}{space 9}15  {c |}{col 14}{res}{space 2}-.1125022{col 26}{space 2} .0484781{col 37}{space 1}   -2.32{col 46}{space 3}0.027{col 54}{space 4}-.2115076{col 67}{space 3}-.0134967
{txt}{space 9}16  {c |}{col 14}{res}{space 2} .2202572{col 26}{space 2} .1126346{col 37}{space 1}    1.96{col 46}{space 3}0.060{col 54}{space 4}-.0097733{col 67}{space 3} .4502877
{txt}{space 9}17  {c |}{col 14}{res}{space 2} .0887258{col 26}{space 2} .0588572{col 37}{space 1}    1.51{col 46}{space 3}0.142{col 54}{space 4}-.0314767{col 67}{space 3} .2089283
{txt}{space 9}18  {c |}{col 14}{res}{space 2}-.2198237{col 26}{space 2} .0299543{col 37}{space 1}   -7.34{col 46}{space 3}0.000{col 54}{space 4}-.2809986{col 67}{space 3}-.1586488
{txt}{space 9}19  {c |}{col 14}{res}{space 2} .1105711{col 26}{space 2} .0875558{col 37}{space 1}    1.26{col 46}{space 3}0.216{col 54}{space 4}-.0682417{col 67}{space 3} .2893839
{txt}{space 9}20  {c |}{col 14}{res}{space 2} -.197964{col 26}{space 2} .0392552{col 37}{space 1}   -5.04{col 46}{space 3}0.000{col 54}{space 4}-.2781338{col 67}{space 3}-.1177942
{txt}{space 9}21  {c |}{col 14}{res}{space 2} .0224839{col 26}{space 2}  .020208{col 37}{space 1}    1.11{col 46}{space 3}0.275{col 54}{space 4}-.0187863{col 67}{space 3} .0637542
{txt}{space 9}22  {c |}{col 14}{res}{space 2} .1591874{col 26}{space 2}  .059455{col 37}{space 1}    2.68{col 46}{space 3}0.012{col 54}{space 4}  .037764{col 67}{space 3} .2806108
{txt}{space 9}23  {c |}{col 14}{res}{space 2}-.1378267{col 26}{space 2} .0293218{col 37}{space 1}   -4.70{col 46}{space 3}0.000{col 54}{space 4}-.1977097{col 67}{space 3}-.0779436
{txt}{space 9}24  {c |}{col 14}{res}{space 2} .0277878{col 26}{space 2} .0510067{col 37}{space 1}    0.54{col 46}{space 3}0.590{col 54}{space 4}-.0763817{col 67}{space 3} .1319574
{txt}{space 9}25  {c |}{col 14}{res}{space 2}-.3102854{col 26}{space 2} .0162614{col 37}{space 1}  -19.08{col 46}{space 3}0.000{col 54}{space 4}-.3434956{col 67}{space 3}-.2770752
{txt}{space 9}26  {c |}{col 14}{res}{space 2} .0207428{col 26}{space 2} .0308169{col 37}{space 1}    0.67{col 46}{space 3}0.506{col 54}{space 4}-.0421937{col 67}{space 3} .0836792
{txt}{space 9}27  {c |}{col 14}{res}{space 2}-.0528602{col 26}{space 2} .0111422{col 37}{space 1}   -4.74{col 46}{space 3}0.000{col 54}{space 4}-.0756157{col 67}{space 3}-.0301047
{txt}{space 9}28  {c |}{col 14}{res}{space 2}-.0382181{col 26}{space 2} .0369595{col 37}{space 1}   -1.03{col 46}{space 3}0.309{col 54}{space 4}-.1136994{col 67}{space 3} .0372632
{txt}{space 9}29  {c |}{col 14}{res}{space 2}-.4142699{col 26}{space 2} .0301621{col 37}{space 1}  -13.73{col 46}{space 3}0.000{col 54}{space 4}-.4758691{col 67}{space 3}-.3526707
{txt}{space 9}30  {c |}{col 14}{res}{space 2} .0018745{col 26}{space 2} .0317339{col 37}{space 1}    0.06{col 46}{space 3}0.953{col 54}{space 4}-.0629347{col 67}{space 3} .0666837
{txt}{space 9}31  {c |}{col 14}{res}{space 2} .0849195{col 26}{space 2} .0391415{col 37}{space 1}    2.17{col 46}{space 3}0.038{col 54}{space 4} .0049818{col 67}{space 3} .1648572
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 2.044613{col 26}{space 2} .1329511{col 37}{space 1}   15.38{col 46}{space 3}0.000{col 54}{space 4} 1.773091{col 67}{space 3} 2.316136
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store d

. 
. reg ENP_cst c.logdis   vv1million  popmillion  i.dummies if yr>1849&yr<1900&dummies<32, cluster(dummies)

{txt}Linear regression                               Number of obs     = {res}     6,459
                                                {txt}{help j_robustsingular:F(2, 30) }         =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.1621
                                                {txt}Root MSE          =    {res} .29881

{txt}{ralign 78:(Std. err. adjusted for {res:31} clusters in {res:dummies})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     ENP_cst{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}logdist {c |}{col 14}{res}{space 2} .0402309{col 26}{space 2} .0115404{col 37}{space 1}    3.49{col 46}{space 3}0.002{col 54}{space 4} .0166624{col 67}{space 3} .0637995
{txt}{space 2}vv1million {c |}{col 14}{res}{space 2} .1545317{col 26}{space 2} .1063487{col 37}{space 1}    1.45{col 46}{space 3}0.157{col 54}{space 4}-.0626615{col 67}{space 3} .3717248
{txt}{space 2}popmillion {c |}{col 14}{res}{space 2} .0217343{col 26}{space 2} .0244262{col 37}{space 1}    0.89{col 46}{space 3}0.381{col 54}{space 4}-.0281506{col 67}{space 3} .0716191
{txt}{space 12} {c |}
{space 5}dummies {c |}
{space 10}2  {c |}{col 14}{res}{space 2} -.058204{col 26}{space 2}  .079124{col 37}{space 1}   -0.74{col 46}{space 3}0.468{col 54}{space 4}-.2197969{col 67}{space 3} .1033889
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.4967039{col 26}{space 2} .0149872{col 37}{space 1}  -33.14{col 46}{space 3}0.000{col 54}{space 4}-.5273118{col 67}{space 3}-.4660961
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0614499{col 26}{space 2} .0205608{col 37}{space 1}    2.99{col 46}{space 3}0.006{col 54}{space 4} .0194591{col 67}{space 3} .1034407
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.3158935{col 26}{space 2} .0272038{col 37}{space 1}  -11.61{col 46}{space 3}0.000{col 54}{space 4}-.3714512{col 67}{space 3}-.2603358
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .0196755{col 26}{space 2} .0256086{col 37}{space 1}    0.77{col 46}{space 3}0.448{col 54}{space 4}-.0326243{col 67}{space 3} .0719753
{txt}{space 10}7  {c |}{col 14}{res}{space 2}  .083206{col 26}{space 2} .0160168{col 37}{space 1}    5.19{col 46}{space 3}0.000{col 54}{space 4} .0504953{col 67}{space 3} .1159167
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.0405163{col 26}{space 2} .0996881{col 37}{space 1}   -0.41{col 46}{space 3}0.687{col 54}{space 4}-.2441065{col 67}{space 3} .1630739
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.0556558{col 26}{space 2} .0264418{col 37}{space 1}   -2.10{col 46}{space 3}0.044{col 54}{space 4}-.1096572{col 67}{space 3}-.0016544
{txt}{space 9}10  {c |}{col 14}{res}{space 2}-.1578752{col 26}{space 2} .0200935{col 37}{space 1}   -7.86{col 46}{space 3}0.000{col 54}{space 4}-.1989115{col 67}{space 3}-.1168389
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.1184457{col 26}{space 2} .0038328{col 37}{space 1}  -30.90{col 46}{space 3}0.000{col 54}{space 4}-.1262733{col 67}{space 3}-.1106181
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.2571508{col 26}{space 2} .0013231{col 37}{space 1} -194.35{col 46}{space 3}0.000{col 54}{space 4}-.2598529{col 67}{space 3}-.2544486
{txt}{space 9}13  {c |}{col 14}{res}{space 2} .0242393{col 26}{space 2} .0055132{col 37}{space 1}    4.40{col 46}{space 3}0.000{col 54}{space 4} .0129799{col 67}{space 3} .0354987
{txt}{space 9}14  {c |}{col 14}{res}{space 2}-.1963171{col 26}{space 2} .0265868{col 37}{space 1}   -7.38{col 46}{space 3}0.000{col 54}{space 4}-.2506147{col 67}{space 3}-.1420196
{txt}{space 9}15  {c |}{col 14}{res}{space 2}-.1488744{col 26}{space 2} .0262917{col 37}{space 1}   -5.66{col 46}{space 3}0.000{col 54}{space 4}-.2025692{col 67}{space 3}-.0951796
{txt}{space 9}16  {c |}{col 14}{res}{space 2}-.0295344{col 26}{space 2} .0584996{col 37}{space 1}   -0.50{col 46}{space 3}0.617{col 54}{space 4}-.1490066{col 67}{space 3} .0899378
{txt}{space 9}17  {c |}{col 14}{res}{space 2}-.0124949{col 26}{space 2} .0334618{col 37}{space 1}   -0.37{col 46}{space 3}0.711{col 54}{space 4} -.080833{col 67}{space 3} .0558432
{txt}{space 9}18  {c |}{col 14}{res}{space 2}-.4095702{col 26}{space 2} .0209396{col 37}{space 1}  -19.56{col 46}{space 3}0.000{col 54}{space 4}-.4523345{col 67}{space 3} -.366806
{txt}{space 9}19  {c |}{col 14}{res}{space 2}-.0421161{col 26}{space 2} .0597262{col 37}{space 1}   -0.71{col 46}{space 3}0.486{col 54}{space 4}-.1640932{col 67}{space 3}  .079861
{txt}{space 9}20  {c |}{col 14}{res}{space 2}-.3144636{col 26}{space 2} .0224036{col 37}{space 1}  -14.04{col 46}{space 3}0.000{col 54}{space 4}-.3602179{col 67}{space 3}-.2687092
{txt}{space 9}21  {c |}{col 14}{res}{space 2}-.0273052{col 26}{space 2} .0087206{col 37}{space 1}   -3.13{col 46}{space 3}0.004{col 54}{space 4}-.0451149{col 67}{space 3}-.0094954
{txt}{space 9}22  {c |}{col 14}{res}{space 2}  .005971{col 26}{space 2} .0417695{col 37}{space 1}    0.14{col 46}{space 3}0.887{col 54}{space 4}-.0793337{col 67}{space 3} .0912757
{txt}{space 9}23  {c |}{col 14}{res}{space 2}-.3426795{col 26}{space 2} .0191986{col 37}{space 1}  -17.85{col 46}{space 3}0.000{col 54}{space 4}-.3818882{col 67}{space 3}-.3034707
{txt}{space 9}24  {c |}{col 14}{res}{space 2} -.061146{col 26}{space 2} .0296731{col 37}{space 1}   -2.06{col 46}{space 3}0.048{col 54}{space 4}-.1217466{col 67}{space 3}-.0005454
{txt}{space 9}25  {c |}{col 14}{res}{space 2}-.3340917{col 26}{space 2} .0159256{col 37}{space 1}  -20.98{col 46}{space 3}0.000{col 54}{space 4}-.3666161{col 67}{space 3}-.3015672
{txt}{space 9}26  {c |}{col 14}{res}{space 2} .0501859{col 26}{space 2} .0278105{col 37}{space 1}    1.80{col 46}{space 3}0.081{col 54}{space 4}-.0066108{col 67}{space 3} .1069826
{txt}{space 9}27  {c |}{col 14}{res}{space 2}-.1912784{col 26}{space 2} .0068406{col 37}{space 1}  -27.96{col 46}{space 3}0.000{col 54}{space 4}-.2052487{col 67}{space 3} -.177308
{txt}{space 9}28  {c |}{col 14}{res}{space 2}-.0542959{col 26}{space 2} .0303312{col 37}{space 1}   -1.79{col 46}{space 3}0.084{col 54}{space 4}-.1162404{col 67}{space 3} .0076487
{txt}{space 9}29  {c |}{col 14}{res}{space 2}-.3212066{col 26}{space 2} .0355429{col 37}{space 1}   -9.04{col 46}{space 3}0.000{col 54}{space 4} -.393795{col 67}{space 3}-.2486182
{txt}{space 9}30  {c |}{col 14}{res}{space 2}-.0021719{col 26}{space 2} .0237902{col 37}{space 1}   -0.09{col 46}{space 3}0.928{col 54}{space 4}-.0507581{col 67}{space 3} .0464142
{txt}{space 9}31  {c |}{col 14}{res}{space 2} .1163967{col 26}{space 2} .0260951{col 37}{space 1}    4.46{col 46}{space 3}0.000{col 54}{space 4} .0631033{col 67}{space 3}   .16969
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 1.762736{col 26}{space 2} .0773067{col 37}{space 1}   22.80{col 46}{space 3}0.000{col 54}{space 4} 1.604854{col 67}{space 3} 1.920617
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store e

. 
. reg ENP_cst c.logdis   vv1million    popmillion i.dummies if yr>1849&yr<1925&dummies<32, cluster(dummies)

{txt}Linear regression                               Number of obs     = {res}    10,751
                                                {txt}{help j_robustsingular:F(2, 30) }         =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.2438
                                                {txt}Root MSE          =    {res} .34653

{txt}{ralign 78:(Std. err. adjusted for {res:31} clusters in {res:dummies})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     ENP_cst{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}logdist {c |}{col 14}{res}{space 2}  .038687{col 26}{space 2} .0179317{col 37}{space 1}    2.16{col 46}{space 3}0.039{col 54}{space 4} .0020656{col 67}{space 3} .0753085
{txt}{space 2}vv1million {c |}{col 14}{res}{space 2} .0874335{col 26}{space 2} .0335136{col 37}{space 1}    2.61{col 46}{space 3}0.014{col 54}{space 4} .0189897{col 67}{space 3} .1558773
{txt}{space 2}popmillion {c |}{col 14}{res}{space 2}  .011292{col 26}{space 2} .0125383{col 37}{space 1}    0.90{col 46}{space 3}0.375{col 54}{space 4}-.0143146{col 67}{space 3} .0368985
{txt}{space 12} {c |}
{space 5}dummies {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0387559{col 26}{space 2} .0579636{col 37}{space 1}    0.67{col 46}{space 3}0.509{col 54}{space 4}-.0796217{col 67}{space 3} .1571334
{txt}{space 10}3  {c |}{col 14}{res}{space 2} -.667047{col 26}{space 2} .0100961{col 37}{space 1}  -66.07{col 46}{space 3}0.000{col 54}{space 4} -.687666{col 67}{space 3}-.6464279
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .1153829{col 26}{space 2} .0293746{col 37}{space 1}    3.93{col 46}{space 3}0.000{col 54}{space 4} .0553921{col 67}{space 3} .1753738
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.4399043{col 26}{space 2} .0186914{col 37}{space 1}  -23.54{col 46}{space 3}0.000{col 54}{space 4}-.4780773{col 67}{space 3}-.4017313
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .0636065{col 26}{space 2} .0420699{col 37}{space 1}    1.51{col 46}{space 3}0.141{col 54}{space 4}-.0223117{col 67}{space 3} .1495248
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .0983382{col 26}{space 2} .0211381{col 37}{space 1}    4.65{col 46}{space 3}0.000{col 54}{space 4} .0551684{col 67}{space 3} .1415081
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .0337421{col 26}{space 2} .0709241{col 37}{space 1}    0.48{col 46}{space 3}0.638{col 54}{space 4}-.1111042{col 67}{space 3} .1785885
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.1832042{col 26}{space 2} .0287655{col 37}{space 1}   -6.37{col 46}{space 3}0.000{col 54}{space 4}-.2419511{col 67}{space 3}-.1244573
{txt}{space 9}10  {c |}{col 14}{res}{space 2} -.186516{col 26}{space 2} .0161077{col 37}{space 1}  -11.58{col 46}{space 3}0.000{col 54}{space 4}-.2194122{col 67}{space 3}-.1536197
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.0523666{col 26}{space 2}   .00367{col 37}{space 1}  -14.27{col 46}{space 3}0.000{col 54}{space 4}-.0598617{col 67}{space 3}-.0448716
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.2562655{col 26}{space 2}  .002524{col 37}{space 1} -101.53{col 46}{space 3}0.000{col 54}{space 4}-.2614202{col 67}{space 3}-.2511109
{txt}{space 9}13  {c |}{col 14}{res}{space 2} .0690773{col 26}{space 2} .0078557{col 37}{space 1}    8.79{col 46}{space 3}0.000{col 54}{space 4} .0530339{col 67}{space 3} .0851207
{txt}{space 9}14  {c |}{col 14}{res}{space 2}-.2862313{col 26}{space 2} .0181389{col 37}{space 1}  -15.78{col 46}{space 3}0.000{col 54}{space 4}-.3232758{col 67}{space 3}-.2491868
{txt}{space 9}15  {c |}{col 14}{res}{space 2}-.1174745{col 26}{space 2} .0170554{col 37}{space 1}   -6.89{col 46}{space 3}0.000{col 54}{space 4}-.1523063{col 67}{space 3}-.0826427
{txt}{space 9}16  {c |}{col 14}{res}{space 2} .0106616{col 26}{space 2} .0380783{col 37}{space 1}    0.28{col 46}{space 3}0.781{col 54}{space 4}-.0671047{col 67}{space 3} .0884279
{txt}{space 9}17  {c |}{col 14}{res}{space 2}  .061355{col 26}{space 2} .0216273{col 37}{space 1}    2.84{col 46}{space 3}0.008{col 54}{space 4} .0171861{col 67}{space 3} .1055239
{txt}{space 9}18  {c |}{col 14}{res}{space 2}-.5492877{col 26}{space 2} .0182318{col 37}{space 1}  -30.13{col 46}{space 3}0.000{col 54}{space 4} -.586522{col 67}{space 3}-.5120533
{txt}{space 9}19  {c |}{col 14}{res}{space 2} .0126034{col 26}{space 2} .0466266{col 37}{space 1}    0.27{col 46}{space 3}0.789{col 54}{space 4}-.0826209{col 67}{space 3} .1078276
{txt}{space 9}20  {c |}{col 14}{res}{space 2}-.4209944{col 26}{space 2} .0183111{col 37}{space 1}  -22.99{col 46}{space 3}0.000{col 54}{space 4}-.4583907{col 67}{space 3}-.3835981
{txt}{space 9}21  {c |}{col 14}{res}{space 2}-.0218055{col 26}{space 2} .0065914{col 37}{space 1}   -3.31{col 46}{space 3}0.002{col 54}{space 4}-.0352669{col 67}{space 3}-.0083441
{txt}{space 9}22  {c |}{col 14}{res}{space 2}-.0002789{col 26}{space 2} .0313047{col 37}{space 1}   -0.01{col 46}{space 3}0.993{col 54}{space 4}-.0642115{col 67}{space 3} .0636538
{txt}{space 9}23  {c |}{col 14}{res}{space 2}-.5397157{col 26}{space 2} .0203718{col 37}{space 1}  -26.49{col 46}{space 3}0.000{col 54}{space 4}-.5813205{col 67}{space 3}-.4981108
{txt}{space 9}24  {c |}{col 14}{res}{space 2}-.0465125{col 26}{space 2} .0237177{col 37}{space 1}   -1.96{col 46}{space 3}0.059{col 54}{space 4}-.0949505{col 67}{space 3} .0019255
{txt}{space 9}25  {c |}{col 14}{res}{space 2}-.4076533{col 26}{space 2} .0184184{col 37}{space 1}  -22.13{col 46}{space 3}0.000{col 54}{space 4}-.4452688{col 67}{space 3}-.3700379
{txt}{space 9}26  {c |}{col 14}{res}{space 2}-.0088159{col 26}{space 2}  .022199{col 37}{space 1}   -0.40{col 46}{space 3}0.694{col 54}{space 4}-.0541523{col 67}{space 3} .0365204
{txt}{space 9}27  {c |}{col 14}{res}{space 2}-.4557742{col 26}{space 2} .0108744{col 37}{space 1}  -41.91{col 46}{space 3}0.000{col 54}{space 4}-.4779826{col 67}{space 3}-.4335658
{txt}{space 9}28  {c |}{col 14}{res}{space 2}-.0702677{col 26}{space 2} .0245152{col 37}{space 1}   -2.87{col 46}{space 3}0.008{col 54}{space 4}-.1203345{col 67}{space 3}-.0202009
{txt}{space 9}29  {c |}{col 14}{res}{space 2}-.5722922{col 26}{space 2} .0396584{col 37}{space 1}  -14.43{col 46}{space 3}0.000{col 54}{space 4}-.6532854{col 67}{space 3}-.4912989
{txt}{space 9}30  {c |}{col 14}{res}{space 2}-.0057735{col 26}{space 2} .0209422{col 37}{space 1}   -0.28{col 46}{space 3}0.785{col 54}{space 4}-.0485431{col 67}{space 3} .0369962
{txt}{space 9}31  {c |}{col 14}{res}{space 2}-.0348367{col 26}{space 2} .0381249{col 37}{space 1}   -0.91{col 46}{space 3}0.368{col 54}{space 4}-.1126981{col 67}{space 3} .0430247
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 1.777334{col 26}{space 2} .1181749{col 37}{space 1}   15.04{col 46}{space 3}0.000{col 54}{space 4} 1.535989{col 67}{space 3}  2.01868
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store f

. 
. reg ENP_cst c.logdis   vv1million    popmillion i.dummies if yr>1849&yr<1950&dummies<32, cluster(dummies)

{txt}Linear regression                               Number of obs     = {res}    14,597
                                                {txt}{help j_robustsingular:F(2, 30) }         =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.2663
                                                {txt}Root MSE          =    {res} .34415

{txt}{ralign 78:(Std. err. adjusted for {res:31} clusters in {res:dummies})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     ENP_cst{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}logdist {c |}{col 14}{res}{space 2} .0304106{col 26}{space 2} .0212494{col 37}{space 1}    1.43{col 46}{space 3}0.163{col 54}{space 4}-.0129866{col 67}{space 3} .0738077
{txt}{space 2}vv1million {c |}{col 14}{res}{space 2} .0223297{col 26}{space 2} .0113227{col 37}{space 1}    1.97{col 46}{space 3}0.058{col 54}{space 4}-.0007943{col 67}{space 3} .0454538
{txt}{space 2}popmillion {c |}{col 14}{res}{space 2} -.016066{col 26}{space 2} .0139089{col 37}{space 1}   -1.16{col 46}{space 3}0.257{col 54}{space 4}-.0444719{col 67}{space 3} .0123398
{txt}{space 12} {c |}
{space 5}dummies {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .1535789{col 26}{space 2}  .095737{col 37}{space 1}    1.60{col 46}{space 3}0.119{col 54}{space 4}-.0419422{col 67}{space 3}    .3491
{txt}{space 10}3  {c |}{col 14}{res}{space 2} -.707951{col 26}{space 2} .0130699{col 37}{space 1}  -54.17{col 46}{space 3}0.000{col 54}{space 4}-.7346432{col 67}{space 3}-.6812587
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0995307{col 26}{space 2} .0328358{col 37}{space 1}    3.03{col 46}{space 3}0.005{col 54}{space 4} .0324712{col 67}{space 3} .1665903
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.4561051{col 26}{space 2} .0191151{col 37}{space 1}  -23.86{col 46}{space 3}0.000{col 54}{space 4}-.4951435{col 67}{space 3}-.4170668
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .0533043{col 26}{space 2} .0567919{col 37}{space 1}    0.94{col 46}{space 3}0.355{col 54}{space 4}-.0626803{col 67}{space 3} .1692889
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .0845535{col 26}{space 2} .0424803{col 37}{space 1}    1.99{col 46}{space 3}0.056{col 54}{space 4}-.0022029{col 67}{space 3} .1713099
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .2310493{col 26}{space 2} .1107857{col 37}{space 1}    2.09{col 46}{space 3}0.046{col 54}{space 4} .0047948{col 67}{space 3} .4573039
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.2143102{col 26}{space 2} .0459182{col 37}{space 1}   -4.67{col 46}{space 3}0.000{col 54}{space 4}-.3080877{col 67}{space 3}-.1205327
{txt}{space 9}10  {c |}{col 14}{res}{space 2}-.1716801{col 26}{space 2} .0292284{col 37}{space 1}   -5.87{col 46}{space 3}0.000{col 54}{space 4}-.2313725{col 67}{space 3}-.1119878
{txt}{space 9}11  {c |}{col 14}{res}{space 2} -.038516{col 26}{space 2} .0047682{col 37}{space 1}   -8.08{col 46}{space 3}0.000{col 54}{space 4} -.048254{col 67}{space 3} -.028778
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.2431136{col 26}{space 2} .0026525{col 37}{space 1}  -91.65{col 46}{space 3}0.000{col 54}{space 4}-.2485307{col 67}{space 3}-.2376964
{txt}{space 9}13  {c |}{col 14}{res}{space 2}  .099595{col 26}{space 2} .0148493{col 37}{space 1}    6.71{col 46}{space 3}0.000{col 54}{space 4} .0692688{col 67}{space 3} .1299213
{txt}{space 9}14  {c |}{col 14}{res}{space 2}-.2752182{col 26}{space 2}  .018846{col 37}{space 1}  -14.60{col 46}{space 3}0.000{col 54}{space 4}-.3137069{col 67}{space 3}-.2367296
{txt}{space 9}15  {c |}{col 14}{res}{space 2}-.0730252{col 26}{space 2} .0212134{col 37}{space 1}   -3.44{col 46}{space 3}0.002{col 54}{space 4}-.1163487{col 67}{space 3}-.0297017
{txt}{space 9}16  {c |}{col 14}{res}{space 2} .0875497{col 26}{space 2} .0571384{col 37}{space 1}    1.53{col 46}{space 3}0.136{col 54}{space 4}-.0291425{col 67}{space 3}  .204242
{txt}{space 9}17  {c |}{col 14}{res}{space 2} .0962387{col 26}{space 2} .0256346{col 37}{space 1}    3.75{col 46}{space 3}0.001{col 54}{space 4} .0438859{col 67}{space 3} .1485915
{txt}{space 9}18  {c |}{col 14}{res}{space 2}-.5574358{col 26}{space 2} .0143641{col 37}{space 1}  -38.81{col 46}{space 3}0.000{col 54}{space 4}-.5867712{col 67}{space 3}-.5281004
{txt}{space 9}19  {c |}{col 14}{res}{space 2} .0852314{col 26}{space 2} .0612125{col 37}{space 1}    1.39{col 46}{space 3}0.174{col 54}{space 4}-.0397811{col 67}{space 3} .2102439
{txt}{space 9}20  {c |}{col 14}{res}{space 2}-.4121747{col 26}{space 2} .0161846{col 37}{space 1}  -25.47{col 46}{space 3}0.000{col 54}{space 4} -.445228{col 67}{space 3}-.3791214
{txt}{space 9}21  {c |}{col 14}{res}{space 2}-.0274051{col 26}{space 2}  .005105{col 37}{space 1}   -5.37{col 46}{space 3}0.000{col 54}{space 4} -.037831{col 67}{space 3}-.0169792
{txt}{space 9}22  {c |}{col 14}{res}{space 2} .0391666{col 26}{space 2} .0298601{col 37}{space 1}    1.31{col 46}{space 3}0.200{col 54}{space 4}-.0218158{col 67}{space 3}  .100149
{txt}{space 9}23  {c |}{col 14}{res}{space 2}-.5204711{col 26}{space 2} .0166723{col 37}{space 1}  -31.22{col 46}{space 3}0.000{col 54}{space 4}-.5545204{col 67}{space 3}-.4864218
{txt}{space 9}24  {c |}{col 14}{res}{space 2}-.0257148{col 26}{space 2} .0348984{col 37}{space 1}   -0.74{col 46}{space 3}0.467{col 54}{space 4}-.0969868{col 67}{space 3} .0455573
{txt}{space 9}25  {c |}{col 14}{res}{space 2}-.3904124{col 26}{space 2} .0150201{col 37}{space 1}  -25.99{col 46}{space 3}0.000{col 54}{space 4}-.4210876{col 67}{space 3}-.3597372
{txt}{space 9}26  {c |}{col 14}{res}{space 2}-.0006113{col 26}{space 2} .0358863{col 37}{space 1}   -0.02{col 46}{space 3}0.987{col 54}{space 4} -.073901{col 67}{space 3} .0726783
{txt}{space 9}27  {c |}{col 14}{res}{space 2}-.4699595{col 26}{space 2} .0103091{col 37}{space 1}  -45.59{col 46}{space 3}0.000{col 54}{space 4}-.4910134{col 67}{space 3}-.4489056
{txt}{space 9}28  {c |}{col 14}{res}{space 2}-.0301715{col 26}{space 2} .0205384{col 37}{space 1}   -1.47{col 46}{space 3}0.152{col 54}{space 4}-.0721164{col 67}{space 3} .0117735
{txt}{space 9}29  {c |}{col 14}{res}{space 2}-.5856175{col 26}{space 2} .0421449{col 37}{space 1}  -13.90{col 46}{space 3}0.000{col 54}{space 4}-.6716888{col 67}{space 3}-.4995462
{txt}{space 9}30  {c |}{col 14}{res}{space 2} .0772241{col 26}{space 2} .0208294{col 37}{space 1}    3.71{col 46}{space 3}0.001{col 54}{space 4} .0346847{col 67}{space 3} .1197635
{txt}{space 9}31  {c |}{col 14}{res}{space 2}-.1700502{col 26}{space 2} .0463386{col 37}{space 1}   -3.67{col 46}{space 3}0.001{col 54}{space 4}-.2646862{col 67}{space 3}-.0754142
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 1.828873{col 26}{space 2} .1368792{col 37}{space 1}   13.36{col 46}{space 3}0.000{col 54}{space 4} 1.549328{col 67}{space 3} 2.108417
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store h

. 
. reg ENP_cst c.logdis   vv1million    popmillion i.dummies if yr>1849&yr<1975&dummies<32, cluster(dummies)

{txt}Linear regression                               Number of obs     = {res}    18,925
                                                {txt}{help j_robustsingular:F(2, 30) }         =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.2620
                                                {txt}Root MSE          =    {res} .33226

{txt}{ralign 78:(Std. err. adjusted for {res:31} clusters in {res:dummies})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     ENP_cst{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}logdist {c |}{col 14}{res}{space 2} .0186674{col 26}{space 2} .0213675{col 37}{space 1}    0.87{col 46}{space 3}0.389{col 54}{space 4}-.0249709{col 67}{space 3} .0623057
{txt}{space 2}vv1million {c |}{col 14}{res}{space 2}  .021711{col 26}{space 2} .0109461{col 37}{space 1}    1.98{col 46}{space 3}0.057{col 54}{space 4}-.0006439{col 67}{space 3} .0440659
{txt}{space 2}popmillion {c |}{col 14}{res}{space 2}-.0130386{col 26}{space 2} .0068086{col 37}{space 1}   -1.92{col 46}{space 3}0.065{col 54}{space 4}-.0269436{col 67}{space 3} .0008664
{txt}{space 12} {c |}
{space 5}dummies {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .1265467{col 26}{space 2} .0640944{col 37}{space 1}    1.97{col 46}{space 3}0.058{col 54}{space 4}-.0043515{col 67}{space 3} .2574449
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.6666396{col 26}{space 2} .0080848{col 37}{space 1}  -82.46{col 46}{space 3}0.000{col 54}{space 4} -.683151{col 67}{space 3}-.6501282
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0861219{col 26}{space 2} .0333748{col 37}{space 1}    2.58{col 46}{space 3}0.015{col 54}{space 4} .0179614{col 67}{space 3} .1542824
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.4814032{col 26}{space 2} .0110544{col 37}{space 1}  -43.55{col 46}{space 3}0.000{col 54}{space 4}-.5039792{col 67}{space 3}-.4588271
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .0135698{col 26}{space 2} .0569783{col 37}{space 1}    0.24{col 46}{space 3}0.813{col 54}{space 4}-.1027953{col 67}{space 3}  .129935
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .0690377{col 26}{space 2} .0371141{col 37}{space 1}    1.86{col 46}{space 3}0.073{col 54}{space 4}-.0067594{col 67}{space 3} .1448348
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .2495657{col 26}{space 2} .0717078{col 37}{space 1}    3.48{col 46}{space 3}0.002{col 54}{space 4} .1031189{col 67}{space 3} .3960126
{txt}{space 10}9  {c |}{col 14}{res}{space 2} -.224427{col 26}{space 2} .0425059{col 37}{space 1}   -5.28{col 46}{space 3}0.000{col 54}{space 4}-.3112355{col 67}{space 3}-.1376184
{txt}{space 9}10  {c |}{col 14}{res}{space 2}-.1546176{col 26}{space 2} .0224852{col 37}{space 1}   -6.88{col 46}{space 3}0.000{col 54}{space 4}-.2005385{col 67}{space 3}-.1086967
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.0397724{col 26}{space 2} .0048955{col 37}{space 1}   -8.12{col 46}{space 3}0.000{col 54}{space 4}-.0497704{col 67}{space 3}-.0297743
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.2066457{col 26}{space 2} .0023761{col 37}{space 1}  -86.97{col 46}{space 3}0.000{col 54}{space 4}-.2114984{col 67}{space 3} -.201793
{txt}{space 9}13  {c |}{col 14}{res}{space 2} .0897705{col 26}{space 2} .0138319{col 37}{space 1}    6.49{col 46}{space 3}0.000{col 54}{space 4} .0615219{col 67}{space 3} .1180191
{txt}{space 9}14  {c |}{col 14}{res}{space 2}-.2719757{col 26}{space 2} .0095257{col 37}{space 1}  -28.55{col 46}{space 3}0.000{col 54}{space 4}-.2914297{col 67}{space 3}-.2525216
{txt}{space 9}15  {c |}{col 14}{res}{space 2}-.0626311{col 26}{space 2} .0113485{col 37}{space 1}   -5.52{col 46}{space 3}0.000{col 54}{space 4}-.0858078{col 67}{space 3}-.0394544
{txt}{space 9}16  {c |}{col 14}{res}{space 2} .0717118{col 26}{space 2} .0380967{col 37}{space 1}    1.88{col 46}{space 3}0.070{col 54}{space 4} -.006092{col 67}{space 3} .1495156
{txt}{space 9}17  {c |}{col 14}{res}{space 2} .0966319{col 26}{space 2}  .013889{col 37}{space 1}    6.96{col 46}{space 3}0.000{col 54}{space 4} .0682668{col 67}{space 3}  .124997
{txt}{space 9}18  {c |}{col 14}{res}{space 2}-.5209763{col 26}{space 2} .0112805{col 37}{space 1}  -46.18{col 46}{space 3}0.000{col 54}{space 4}-.5440141{col 67}{space 3}-.4979384
{txt}{space 9}19  {c |}{col 14}{res}{space 2} .0640643{col 26}{space 2} .0340971{col 37}{space 1}    1.88{col 46}{space 3}0.070{col 54}{space 4}-.0055713{col 67}{space 3} .1336999
{txt}{space 9}20  {c |}{col 14}{res}{space 2}-.3772662{col 26}{space 2} .0085657{col 37}{space 1}  -44.04{col 46}{space 3}0.000{col 54}{space 4}-.3947596{col 67}{space 3}-.3597728
{txt}{space 9}21  {c |}{col 14}{res}{space 2}-.0135516{col 26}{space 2} .0042307{col 37}{space 1}   -3.20{col 46}{space 3}0.003{col 54}{space 4}-.0221917{col 67}{space 3}-.0049114
{txt}{space 9}22  {c |}{col 14}{res}{space 2} .0379185{col 26}{space 2} .0139389{col 37}{space 1}    2.72{col 46}{space 3}0.011{col 54}{space 4} .0094514{col 67}{space 3} .0663856
{txt}{space 9}23  {c |}{col 14}{res}{space 2}-.4658452{col 26}{space 2} .0147018{col 37}{space 1}  -31.69{col 46}{space 3}0.000{col 54}{space 4}-.4958703{col 67}{space 3}  -.43582
{txt}{space 9}24  {c |}{col 14}{res}{space 2}-.0657374{col 26}{space 2} .0211577{col 37}{space 1}   -3.11{col 46}{space 3}0.004{col 54}{space 4}-.1089471{col 67}{space 3}-.0225276
{txt}{space 9}25  {c |}{col 14}{res}{space 2}-.3619106{col 26}{space 2} .0131779{col 37}{space 1}  -27.46{col 46}{space 3}0.000{col 54}{space 4}-.3888234{col 67}{space 3}-.3349977
{txt}{space 9}26  {c |}{col 14}{res}{space 2}-.0098651{col 26}{space 2} .0256697{col 37}{space 1}   -0.38{col 46}{space 3}0.703{col 54}{space 4}-.0622896{col 67}{space 3} .0425593
{txt}{space 9}27  {c |}{col 14}{res}{space 2}-.3582336{col 26}{space 2} .0129993{col 37}{space 1}  -27.56{col 46}{space 3}0.000{col 54}{space 4}-.3847818{col 67}{space 3}-.3316855
{txt}{space 9}28  {c |}{col 14}{res}{space 2}-.0100768{col 26}{space 2} .0121085{col 37}{space 1}   -0.83{col 46}{space 3}0.412{col 54}{space 4}-.0348055{col 67}{space 3}  .014652
{txt}{space 9}29  {c |}{col 14}{res}{space 2}-.5150838{col 26}{space 2} .0256672{col 37}{space 1}  -20.07{col 46}{space 3}0.000{col 54}{space 4}-.5675032{col 67}{space 3}-.4626644
{txt}{space 9}30  {c |}{col 14}{res}{space 2} .0556663{col 26}{space 2} .0109693{col 37}{space 1}    5.07{col 46}{space 3}0.000{col 54}{space 4} .0332639{col 67}{space 3} .0780687
{txt}{space 9}31  {c |}{col 14}{res}{space 2}-.0923542{col 26}{space 2} .0485668{col 37}{space 1}   -1.90{col 46}{space 3}0.067{col 54}{space 4}-.1915409{col 67}{space 3} .0068325
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 1.880283{col 26}{space 2} .1381659{col 37}{space 1}   13.61{col 46}{space 3}0.000{col 54}{space 4} 1.598111{col 67}{space 3} 2.162455
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store i

. 
. reg ENP_cst c.logdis   vv1million    popmillion i.dummies if yr>1849&yr<2000&dummies<32, cluster(dummies)

{txt}Linear regression                               Number of obs     = {res}    23,120
                                                {txt}{help j_robustsingular:F(2, 30) }         =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.2193
                                                {txt}Root MSE          =    {res} .33775

{txt}{ralign 78:(Std. err. adjusted for {res:31} clusters in {res:dummies})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     ENP_cst{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}logdist {c |}{col 14}{res}{space 2} .0105755{col 26}{space 2} .0220645{col 37}{space 1}    0.48{col 46}{space 3}0.635{col 54}{space 4}-.0344861{col 67}{space 3} .0556372
{txt}{space 2}vv1million {c |}{col 14}{res}{space 2} .0228711{col 26}{space 2} .0125253{col 37}{space 1}    1.83{col 46}{space 3}0.078{col 54}{space 4}-.0027089{col 67}{space 3} .0484511
{txt}{space 2}popmillion {c |}{col 14}{res}{space 2}-.0061533{col 26}{space 2} .0049875{col 37}{space 1}   -1.23{col 46}{space 3}0.227{col 54}{space 4}-.0163392{col 67}{space 3} .0040326
{txt}{space 12} {c |}
{space 5}dummies {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0537651{col 26}{space 2} .0521769{col 37}{space 1}    1.03{col 46}{space 3}0.311{col 54}{space 4}-.0527942{col 67}{space 3} .1603245
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.5774704{col 26}{space 2} .0071894{col 37}{space 1}  -80.32{col 46}{space 3}0.000{col 54}{space 4}-.5921531{col 67}{space 3}-.5627876
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0589782{col 26}{space 2} .0349833{col 37}{space 1}    1.69{col 46}{space 3}0.102{col 54}{space 4}-.0124672{col 67}{space 3} .1304236
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.4335193{col 26}{space 2} .0119648{col 37}{space 1}  -36.23{col 46}{space 3}0.000{col 54}{space 4}-.4579547{col 67}{space 3}-.4090839
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.0470283{col 26}{space 2} .0574531{col 37}{space 1}   -0.82{col 46}{space 3}0.419{col 54}{space 4}-.1643633{col 67}{space 3} .0703066
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .0208458{col 26}{space 2} .0338886{col 37}{space 1}    0.62{col 46}{space 3}0.543{col 54}{space 4} -.048364{col 67}{space 3} .0900556
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .2025921{col 26}{space 2} .0585356{col 37}{space 1}    3.46{col 46}{space 3}0.002{col 54}{space 4} .0830465{col 67}{space 3} .3221377
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.2470002{col 26}{space 2} .0411279{col 37}{space 1}   -6.01{col 46}{space 3}0.000{col 54}{space 4}-.3309947{col 67}{space 3}-.1630058
{txt}{space 9}10  {c |}{col 14}{res}{space 2}-.1514163{col 26}{space 2} .0204369{col 37}{space 1}   -7.41{col 46}{space 3}0.000{col 54}{space 4} -.193154{col 67}{space 3}-.1096785
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.0472593{col 26}{space 2} .0049222{col 37}{space 1}   -9.60{col 46}{space 3}0.000{col 54}{space 4}-.0573118{col 67}{space 3}-.0372067
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.1791826{col 26}{space 2}  .002495{col 37}{space 1}  -71.82{col 46}{space 3}0.000{col 54}{space 4}-.1842781{col 67}{space 3}-.1740871
{txt}{space 9}13  {c |}{col 14}{res}{space 2} .0755739{col 26}{space 2} .0132658{col 37}{space 1}    5.70{col 46}{space 3}0.000{col 54}{space 4} .0484815{col 67}{space 3} .1026662
{txt}{space 9}14  {c |}{col 14}{res}{space 2}-.2794354{col 26}{space 2} .0092886{col 37}{space 1}  -30.08{col 46}{space 3}0.000{col 54}{space 4}-.2984052{col 67}{space 3}-.2604656
{txt}{space 9}15  {c |}{col 14}{res}{space 2}-.0860458{col 26}{space 2} .0088067{col 37}{space 1}   -9.77{col 46}{space 3}0.000{col 54}{space 4}-.1040314{col 67}{space 3}-.0680601
{txt}{space 9}16  {c |}{col 14}{res}{space 2} .0176758{col 26}{space 2} .0319868{col 37}{space 1}    0.55{col 46}{space 3}0.585{col 54}{space 4}  -.04765{col 67}{space 3} .0830017
{txt}{space 9}17  {c |}{col 14}{res}{space 2} .0708333{col 26}{space 2} .0119626{col 37}{space 1}    5.92{col 46}{space 3}0.000{col 54}{space 4} .0464024{col 67}{space 3} .0952642
{txt}{space 9}18  {c |}{col 14}{res}{space 2}-.4492302{col 26}{space 2} .0132023{col 37}{space 1}  -34.03{col 46}{space 3}0.000{col 54}{space 4}-.4761929{col 67}{space 3}-.4222674
{txt}{space 9}19  {c |}{col 14}{res}{space 2}-.0012282{col 26}{space 2} .0295829{col 37}{space 1}   -0.04{col 46}{space 3}0.967{col 54}{space 4}-.0616446{col 67}{space 3} .0591881
{txt}{space 9}20  {c |}{col 14}{res}{space 2}-.3738676{col 26}{space 2} .0100463{col 37}{space 1}  -37.21{col 46}{space 3}0.000{col 54}{space 4}-.3943848{col 67}{space 3}-.3533503
{txt}{space 9}21  {c |}{col 14}{res}{space 2}-.0109749{col 26}{space 2} .0049478{col 37}{space 1}   -2.22{col 46}{space 3}0.034{col 54}{space 4}-.0210796{col 67}{space 3}-.0008703
{txt}{space 9}22  {c |}{col 14}{res}{space 2}   .01903{col 26}{space 2} .0144632{col 37}{space 1}    1.32{col 46}{space 3}0.198{col 54}{space 4}-.0105078{col 67}{space 3} .0485679
{txt}{space 9}23  {c |}{col 14}{res}{space 2}-.4785696{col 26}{space 2} .0169015{col 37}{space 1}  -28.32{col 46}{space 3}0.000{col 54}{space 4} -.513087{col 67}{space 3}-.4440522
{txt}{space 9}24  {c |}{col 14}{res}{space 2}-.1172434{col 26}{space 2} .0170614{col 37}{space 1}   -6.87{col 46}{space 3}0.000{col 54}{space 4}-.1520873{col 67}{space 3}-.0823994
{txt}{space 9}25  {c |}{col 14}{res}{space 2}-.3294334{col 26}{space 2} .0151336{col 37}{space 1}  -21.77{col 46}{space 3}0.000{col 54}{space 4}-.3603403{col 67}{space 3}-.2985266
{txt}{space 9}26  {c |}{col 14}{res}{space 2}-.0571952{col 26}{space 2} .0236615{col 37}{space 1}   -2.42{col 46}{space 3}0.022{col 54}{space 4}-.1055186{col 67}{space 3}-.0088719
{txt}{space 9}27  {c |}{col 14}{res}{space 2}-.2819213{col 26}{space 2} .0269746{col 37}{space 1}  -10.45{col 46}{space 3}0.000{col 54}{space 4}-.3370107{col 67}{space 3}-.2268318
{txt}{space 9}28  {c |}{col 14}{res}{space 2}-.0201234{col 26}{space 2} .0142691{col 37}{space 1}   -1.41{col 46}{space 3}0.169{col 54}{space 4}-.0492648{col 67}{space 3}  .009018
{txt}{space 9}29  {c |}{col 14}{res}{space 2}-.4401399{col 26}{space 2} .0346278{col 37}{space 1}  -12.71{col 46}{space 3}0.000{col 54}{space 4}-.5108594{col 67}{space 3}-.3694205
{txt}{space 9}30  {c |}{col 14}{res}{space 2} .0094635{col 26}{space 2} .0120044{col 37}{space 1}    0.79{col 46}{space 3}0.437{col 54}{space 4}-.0150527{col 67}{space 3} .0339797
{txt}{space 9}31  {c |}{col 14}{res}{space 2}-.0713336{col 26}{space 2} .0691624{col 37}{space 1}   -1.03{col 46}{space 3}0.311{col 54}{space 4} -.212582{col 67}{space 3} .0699148
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 1.920418{col 26}{space 2} .1432375{col 37}{space 1}   13.41{col 46}{space 3}0.000{col 54}{space 4} 1.627888{col 67}{space 3} 2.212948
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store j

. 
. reg ENP_cst c.logdis   vv1million    popmillion i.dummies if yr>1849&yr<2020&dummies<32, cluster(dummies)

{txt}Linear regression                               Number of obs     = {res}    26,327
                                                {txt}{help j_robustsingular:F(2, 30) }         =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.2071
                                                {txt}Root MSE          =    {res} .33772

{txt}{ralign 78:(Std. err. adjusted for {res:31} clusters in {res:dummies})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     ENP_cst{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}logdist {c |}{col 14}{res}{space 2} .0165819{col 26}{space 2} .0243764{col 37}{space 1}    0.68{col 46}{space 3}0.502{col 54}{space 4}-.0332014{col 67}{space 3} .0663652
{txt}{space 2}vv1million {c |}{col 14}{res}{space 2}  .029659{col 26}{space 2} .0156231{col 37}{space 1}    1.90{col 46}{space 3}0.067{col 54}{space 4}-.0022476{col 67}{space 3} .0615656
{txt}{space 2}popmillion {c |}{col 14}{res}{space 2}-.0027882{col 26}{space 2} .0038548{col 37}{space 1}   -0.72{col 46}{space 3}0.475{col 54}{space 4}-.0106607{col 67}{space 3} .0050843
{txt}{space 12} {c |}
{space 5}dummies {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0090067{col 26}{space 2} .0449442{col 37}{space 1}    0.20{col 46}{space 3}0.843{col 54}{space 4}-.0827817{col 67}{space 3}  .100795
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.5343637{col 26}{space 2} .0065065{col 37}{space 1}  -82.13{col 46}{space 3}0.000{col 54}{space 4}-.5476517{col 67}{space 3}-.5210757
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0475294{col 26}{space 2} .0390309{col 37}{space 1}    1.22{col 46}{space 3}0.233{col 54}{space 4}-.0321824{col 67}{space 3} .1272412
{txt}{space 10}5  {c |}{col 14}{res}{space 2} -.436912{col 26}{space 2} .0136114{col 37}{space 1}  -32.10{col 46}{space 3}0.000{col 54}{space 4}-.4647102{col 67}{space 3}-.4091138
{txt}{space 10}6  {c |}{col 14}{res}{space 2} -.065413{col 26}{space 2}  .061599{col 37}{space 1}   -1.06{col 46}{space 3}0.297{col 54}{space 4} -.191215{col 67}{space 3} .0603889
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.0133754{col 26}{space 2} .0318798{col 37}{space 1}   -0.42{col 46}{space 3}0.678{col 54}{space 4}-.0784826{col 67}{space 3} .0517318
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .1880157{col 26}{space 2} .0481531{col 37}{space 1}    3.90{col 46}{space 3}0.000{col 54}{space 4} .0896741{col 67}{space 3} .2863574
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.2451333{col 26}{space 2} .0428194{col 37}{space 1}   -5.72{col 46}{space 3}0.000{col 54}{space 4}-.3325821{col 67}{space 3}-.1576845
{txt}{space 9}10  {c |}{col 14}{res}{space 2}-.1635948{col 26}{space 2} .0196576{col 37}{space 1}   -8.32{col 46}{space 3}0.000{col 54}{space 4}-.2037409{col 67}{space 3}-.1234488
{txt}{space 9}11  {c |}{col 14}{res}{space 2} -.055962{col 26}{space 2} .0053157{col 37}{space 1}  -10.53{col 46}{space 3}0.000{col 54}{space 4}-.0668181{col 67}{space 3}-.0451059
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.1879404{col 26}{space 2}  .002838{col 37}{space 1}  -66.22{col 46}{space 3}0.000{col 54}{space 4}-.1937363{col 67}{space 3}-.1821444
{txt}{space 9}13  {c |}{col 14}{res}{space 2} .0583396{col 26}{space 2} .0131095{col 37}{space 1}    4.45{col 46}{space 3}0.000{col 54}{space 4} .0315664{col 67}{space 3} .0851129
{txt}{space 9}14  {c |}{col 14}{res}{space 2}-.2934975{col 26}{space 2} .0093287{col 37}{space 1}  -31.46{col 46}{space 3}0.000{col 54}{space 4}-.3125492{col 67}{space 3}-.2744457
{txt}{space 9}15  {c |}{col 14}{res}{space 2}-.1084368{col 26}{space 2} .0070115{col 37}{space 1}  -15.47{col 46}{space 3}0.000{col 54}{space 4}-.1227562{col 67}{space 3}-.0941175
{txt}{space 9}16  {c |}{col 14}{res}{space 2}-.0190479{col 26}{space 2} .0266804{col 37}{space 1}   -0.71{col 46}{space 3}0.481{col 54}{space 4}-.0735364{col 67}{space 3} .0354407
{txt}{space 9}17  {c |}{col 14}{res}{space 2} .0435866{col 26}{space 2} .0104967{col 37}{space 1}    4.15{col 46}{space 3}0.000{col 54}{space 4} .0221494{col 67}{space 3} .0650238
{txt}{space 9}18  {c |}{col 14}{res}{space 2}-.4322209{col 26}{space 2}  .015587{col 37}{space 1}  -27.73{col 46}{space 3}0.000{col 54}{space 4}-.4640538{col 67}{space 3}-.4003881
{txt}{space 9}19  {c |}{col 14}{res}{space 2}-.0547429{col 26}{space 2} .0261141{col 37}{space 1}   -2.10{col 46}{space 3}0.045{col 54}{space 4}-.1080749{col 67}{space 3}-.0014109
{txt}{space 9}20  {c |}{col 14}{res}{space 2}-.3988906{col 26}{space 2} .0116612{col 37}{space 1}  -34.21{col 46}{space 3}0.000{col 54}{space 4}-.4227059{col 67}{space 3}-.3750752
{txt}{space 9}21  {c |}{col 14}{res}{space 2}-.0214808{col 26}{space 2} .0057862{col 37}{space 1}   -3.71{col 46}{space 3}0.001{col 54}{space 4}-.0332978{col 67}{space 3}-.0096637
{txt}{space 9}22  {c |}{col 14}{res}{space 2}-.0150275{col 26}{space 2} .0160538{col 37}{space 1}   -0.94{col 46}{space 3}0.357{col 54}{space 4}-.0478138{col 67}{space 3} .0177587
{txt}{space 9}23  {c |}{col 14}{res}{space 2}-.4752238{col 26}{space 2} .0200286{col 37}{space 1}  -23.73{col 46}{space 3}0.000{col 54}{space 4}-.5161276{col 67}{space 3}  -.43432
{txt}{space 9}24  {c |}{col 14}{res}{space 2}-.1431851{col 26}{space 2}  .013945{col 37}{space 1}  -10.27{col 46}{space 3}0.000{col 54}{space 4}-.1716646{col 67}{space 3}-.1147055
{txt}{space 9}25  {c |}{col 14}{res}{space 2}-.3301472{col 26}{space 2} .0176624{col 37}{space 1}  -18.69{col 46}{space 3}0.000{col 54}{space 4}-.3662185{col 67}{space 3}-.2940758
{txt}{space 9}26  {c |}{col 14}{res}{space 2}-.0868711{col 26}{space 2} .0203376{col 37}{space 1}   -4.27{col 46}{space 3}0.000{col 54}{space 4} -.128406{col 67}{space 3}-.0453362
{txt}{space 9}27  {c |}{col 14}{res}{space 2}-.2653675{col 26}{space 2} .0366631{col 37}{space 1}   -7.24{col 46}{space 3}0.000{col 54}{space 4}-.3402435{col 67}{space 3}-.1904915
{txt}{space 9}28  {c |}{col 14}{res}{space 2}-.0380915{col 26}{space 2} .0168566{col 37}{space 1}   -2.26{col 46}{space 3}0.031{col 54}{space 4}-.0725171{col 67}{space 3}-.0036658
{txt}{space 9}29  {c |}{col 14}{res}{space 2}-.4234944{col 26}{space 2} .0429181{col 37}{space 1}   -9.87{col 46}{space 3}0.000{col 54}{space 4}-.5111447{col 67}{space 3} -.335844
{txt}{space 9}30  {c |}{col 14}{res}{space 2} -.030897{col 26}{space 2} .0133676{col 37}{space 1}   -2.31{col 46}{space 3}0.028{col 54}{space 4}-.0581974{col 67}{space 3}-.0035967
{txt}{space 9}31  {c |}{col 14}{res}{space 2}-.1504086{col 26}{space 2} .0777559{col 37}{space 1}   -1.93{col 46}{space 3}0.063{col 54}{space 4}-.3092075{col 67}{space 3} .0083902
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 1.889216{col 26}{space 2} .1585805{col 37}{space 1}   11.91{col 46}{space 3}0.000{col 54}{space 4} 1.565352{col 67}{space 3} 2.213081
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store k

. 
. coefplot d e f h i j k  , keep ( logdist) yline(0) xlabel(0.625(0.125)1.375, grid) title("Entire US") ytitle("Coefficient on (the log of) distance") xlabel(0.625 "1875" 0.750 "1900" 0.875 "1925" 1.00 "1950" 1.125 "1975" 1.25 "2000" 1.375 "2016")  legend(off) ciopts(lcolor(ebblue)) mcolor(ebblue) vert name(c3)
{res}
{com}. 
. reg ENP_cst c.logdis   vv1million   popmillion i.dummies if south==0&yr>1849&yr<1875&dummies<32, cluster(dummies)

{txt}Linear regression                               Number of obs     = {res}     2,256
                                                {txt}{help j_robustsingular:F(2, 19) }         =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0958
                                                {txt}Root MSE          =    {res} .26784

{txt}{ralign 78:(Std. err. adjusted for {res:20} clusters in {res:dummies})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     ENP_cst{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}logdist {c |}{col 14}{res}{space 2} -.007251{col 26}{space 2} .0306023{col 37}{space 1}   -0.24{col 46}{space 3}0.815{col 54}{space 4}-.0713024{col 67}{space 3} .0568003
{txt}{space 2}vv1million {c |}{col 14}{res}{space 2} .1482486{col 26}{space 2} .1242815{col 37}{space 1}    1.19{col 46}{space 3}0.248{col 54}{space 4}-.1118755{col 67}{space 3} .4083727
{txt}{space 2}popmillion {c |}{col 14}{res}{space 2}-.1143264{col 26}{space 2} .0606874{col 37}{space 1}   -1.88{col 46}{space 3}0.075{col 54}{space 4}-.2413466{col 67}{space 3} .0126938
{txt}{space 12} {c |}
{space 5}dummies {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .2446657{col 26}{space 2}  .134812{col 37}{space 1}    1.81{col 46}{space 3}0.085{col 54}{space 4} -.037499{col 67}{space 3} .5268304
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.0299439{col 26}{space 2} .0568375{col 37}{space 1}   -0.53{col 46}{space 3}0.604{col 54}{space 4}-.1489062{col 67}{space 3} .0890183
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.1090557{col 26}{space 2} .0657641{col 37}{space 1}   -1.66{col 46}{space 3}0.114{col 54}{space 4}-.2467016{col 67}{space 3} .0285901
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .0431407{col 26}{space 2} .0262027{col 37}{space 1}    1.65{col 46}{space 3}0.116{col 54}{space 4}-.0117021{col 67}{space 3} .0979836
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .4504829{col 26}{space 2} .1952733{col 37}{space 1}    2.31{col 46}{space 3}0.032{col 54}{space 4} .0417712{col 67}{space 3} .8591945
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.2033051{col 26}{space 2} .0130014{col 37}{space 1}  -15.64{col 46}{space 3}0.000{col 54}{space 4}-.2305174{col 67}{space 3}-.1760928
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.2067444{col 26}{space 2} .0034775{col 37}{space 1}  -59.45{col 46}{space 3}0.000{col 54}{space 4} -.214023{col 67}{space 3}-.1994659
{txt}{space 9}13  {c |}{col 14}{res}{space 2} .0122523{col 26}{space 2} .0100582{col 37}{space 1}    1.22{col 46}{space 3}0.238{col 54}{space 4}-.0087997{col 67}{space 3} .0333043
{txt}{space 9}15  {c |}{col 14}{res}{space 2}-.1157484{col 26}{space 2}   .04949{col 37}{space 1}   -2.34{col 46}{space 3}0.030{col 54}{space 4}-.2193321{col 67}{space 3}-.0121647
{txt}{space 9}16  {c |}{col 14}{res}{space 2}  .213231{col 26}{space 2}   .11341{col 37}{space 1}    1.88{col 46}{space 3}0.076{col 54}{space 4}-.0241388{col 67}{space 3} .4506008
{txt}{space 9}17  {c |}{col 14}{res}{space 2} .0888549{col 26}{space 2} .0621142{col 37}{space 1}    1.43{col 46}{space 3}0.169{col 54}{space 4}-.0411517{col 67}{space 3} .2188614
{txt}{space 9}19  {c |}{col 14}{res}{space 2} .1119054{col 26}{space 2} .0936275{col 37}{space 1}    1.20{col 46}{space 3}0.247{col 54}{space 4}-.0840592{col 67}{space 3} .3078701
{txt}{space 9}21  {c |}{col 14}{res}{space 2} .0232538{col 26}{space 2} .0233008{col 37}{space 1}    1.00{col 46}{space 3}0.331{col 54}{space 4}-.0255153{col 67}{space 3} .0720229
{txt}{space 9}22  {c |}{col 14}{res}{space 2} .1605361{col 26}{space 2} .0668978{col 37}{space 1}    2.40{col 46}{space 3}0.027{col 54}{space 4} .0205174{col 67}{space 3} .3005548
{txt}{space 9}24  {c |}{col 14}{res}{space 2} .0236105{col 26}{space 2} .0511457{col 37}{space 1}    0.46{col 46}{space 3}0.650{col 54}{space 4}-.0834386{col 67}{space 3} .1306597
{txt}{space 9}26  {c |}{col 14}{res}{space 2}  .022399{col 26}{space 2}  .034166{col 37}{space 1}    0.66{col 46}{space 3}0.520{col 54}{space 4}-.0491114{col 67}{space 3} .0939093
{txt}{space 9}28  {c |}{col 14}{res}{space 2} -.033786{col 26}{space 2} .0453822{col 37}{space 1}   -0.74{col 46}{space 3}0.466{col 54}{space 4} -.128772{col 67}{space 3} .0611999
{txt}{space 9}30  {c |}{col 14}{res}{space 2} .0051112{col 26}{space 2} .0377395{col 37}{space 1}    0.14{col 46}{space 3}0.894{col 54}{space 4}-.0738786{col 67}{space 3} .0841009
{txt}{space 9}31  {c |}{col 14}{res}{space 2} .1069039{col 26}{space 2} .0561461{col 37}{space 1}    1.90{col 46}{space 3}0.072{col 54}{space 4}-.0106112{col 67}{space 3}  .224419
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 2.090815{col 26}{space 2} .2115818{col 37}{space 1}    9.88{col 46}{space 3}0.000{col 54}{space 4} 1.647969{col 67}{space 3} 2.533661
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store d

. 
. reg ENP_cst c.logdis   vv1million    popmillion i.dummies if south==0&yr>1849&yr<1900&dummies<32, cluster(dummies)

{txt}Linear regression                               Number of obs     = {res}     4,877
                                                {txt}{help j_robustsingular:F(2, 19) }         =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0573
                                                {txt}Root MSE          =    {res} .26568

{txt}{ralign 78:(Std. err. adjusted for {res:20} clusters in {res:dummies})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     ENP_cst{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}logdist {c |}{col 14}{res}{space 2} .0489387{col 26}{space 2} .0173205{col 37}{space 1}    2.83{col 46}{space 3}0.011{col 54}{space 4} .0126864{col 67}{space 3} .0851909
{txt}{space 2}vv1million {c |}{col 14}{res}{space 2}  .061512{col 26}{space 2} .0342225{col 37}{space 1}    1.80{col 46}{space 3}0.088{col 54}{space 4}-.0101165{col 67}{space 3} .1331406
{txt}{space 2}popmillion {c |}{col 14}{res}{space 2} .0170071{col 26}{space 2}  .023443{col 37}{space 1}    0.73{col 46}{space 3}0.477{col 54}{space 4}-.0320597{col 67}{space 3} .0660739
{txt}{space 12} {c |}
{space 5}dummies {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0308457{col 26}{space 2} .0707096{col 37}{space 1}   -0.44{col 46}{space 3}0.668{col 54}{space 4}-.1788427{col 67}{space 3} .1171512
{txt}{space 10}4  {c |}{col 14}{res}{space 2}  .073931{col 26}{space 2} .0303416{col 37}{space 1}    2.44{col 46}{space 3}0.025{col 54}{space 4} .0104253{col 67}{space 3} .1374367
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .0426989{col 26}{space 2} .0369513{col 37}{space 1}    1.16{col 46}{space 3}0.262{col 54}{space 4}-.0346411{col 67}{space 3} .1200388
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .0956118{col 26}{space 2} .0159688{col 37}{space 1}    5.99{col 46}{space 3}0.000{col 54}{space 4} .0621888{col 67}{space 3} .1290348
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.0160507{col 26}{space 2} .0930075{col 37}{space 1}   -0.17{col 46}{space 3}0.865{col 54}{space 4}-.2107176{col 67}{space 3} .1786161
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.1186745{col 26}{space 2}  .004907{col 37}{space 1}  -24.18{col 46}{space 3}0.000{col 54}{space 4} -.128945{col 67}{space 3}-.1084041
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.2569477{col 26}{space 2} .0021174{col 37}{space 1} -121.35{col 46}{space 3}0.000{col 54}{space 4}-.2613795{col 67}{space 3} -.252516
{txt}{space 9}13  {c |}{col 14}{res}{space 2} .0287659{col 26}{space 2} .0060119{col 37}{space 1}    4.78{col 46}{space 3}0.000{col 54}{space 4}  .016183{col 67}{space 3} .0413489
{txt}{space 9}15  {c |}{col 14}{res}{space 2} -.144533{col 26}{space 2}  .025329{col 37}{space 1}   -5.71{col 46}{space 3}0.000{col 54}{space 4}-.1975472{col 67}{space 3}-.0915187
{txt}{space 9}16  {c |}{col 14}{res}{space 2}-.0153735{col 26}{space 2}  .054666{col 37}{space 1}   -0.28{col 46}{space 3}0.782{col 54}{space 4}-.1297907{col 67}{space 3} .0990438
{txt}{space 9}17  {c |}{col 14}{res}{space 2}-.0069744{col 26}{space 2} .0329356{col 37}{space 1}   -0.21{col 46}{space 3}0.835{col 54}{space 4}-.0759094{col 67}{space 3} .0619607
{txt}{space 9}19  {c |}{col 14}{res}{space 2}-.0333177{col 26}{space 2} .0594171{col 37}{space 1}   -0.56{col 46}{space 3}0.582{col 54}{space 4}-.1576791{col 67}{space 3} .0910437
{txt}{space 9}21  {c |}{col 14}{res}{space 2}-.0281853{col 26}{space 2} .0100457{col 37}{space 1}   -2.81{col 46}{space 3}0.011{col 54}{space 4}-.0492112{col 67}{space 3}-.0071594
{txt}{space 9}22  {c |}{col 14}{res}{space 2} .0079091{col 26}{space 2} .0438159{col 37}{space 1}    0.18{col 46}{space 3}0.859{col 54}{space 4}-.0837985{col 67}{space 3} .0996168
{txt}{space 9}24  {c |}{col 14}{res}{space 2} -.054859{col 26}{space 2} .0279208{col 37}{space 1}   -1.96{col 46}{space 3}0.064{col 54}{space 4}-.1132978{col 67}{space 3} .0035799
{txt}{space 9}26  {c |}{col 14}{res}{space 2} .0543569{col 26}{space 2} .0276439{col 37}{space 1}    1.97{col 46}{space 3}0.064{col 54}{space 4}-.0035024{col 67}{space 3} .1122162
{txt}{space 9}28  {c |}{col 14}{res}{space 2}-.0551594{col 26}{space 2}  .033697{col 37}{space 1}   -1.64{col 46}{space 3}0.118{col 54}{space 4} -.125688{col 67}{space 3} .0153691
{txt}{space 9}30  {c |}{col 14}{res}{space 2} -.002174{col 26}{space 2} .0259478{col 37}{space 1}   -0.08{col 46}{space 3}0.934{col 54}{space 4}-.0564833{col 67}{space 3} .0521352
{txt}{space 9}31  {c |}{col 14}{res}{space 2} .1059614{col 26}{space 2} .0371066{col 37}{space 1}    2.86{col 46}{space 3}0.010{col 54}{space 4} .0282964{col 67}{space 3} .1836265
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}  1.71003{col 26}{space 2} .1170201{col 37}{space 1}   14.61{col 46}{space 3}0.000{col 54}{space 4} 1.465104{col 67}{space 3} 1.954956
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store e

. 
. reg ENP_cst c.logdis   vv1million  popmillion   i.dummies if south==0&yr>1849&yr<1925&dummies<32, cluster(dummies)

{txt}Linear regression                               Number of obs     = {res}     8,146
                                                {txt}{help j_robustsingular:F(2, 19) }         =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0434
                                                {txt}Root MSE          =    {res} .32662

{txt}{ralign 78:(Std. err. adjusted for {res:20} clusters in {res:dummies})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     ENP_cst{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}logdist {c |}{col 14}{res}{space 2} .0327657{col 26}{space 2} .0285056{col 37}{space 1}    1.15{col 46}{space 3}0.265{col 54}{space 4}-.0268971{col 67}{space 3} .0924285
{txt}{space 2}vv1million {c |}{col 14}{res}{space 2} .0499669{col 26}{space 2} .0176036{col 37}{space 1}    2.84{col 46}{space 3}0.011{col 54}{space 4} .0131221{col 67}{space 3} .0868117
{txt}{space 2}popmillion {c |}{col 14}{res}{space 2} .0250403{col 26}{space 2} .0079746{col 37}{space 1}    3.14{col 46}{space 3}0.005{col 54}{space 4} .0083493{col 67}{space 3} .0417313
{txt}{space 12} {c |}
{space 5}dummies {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0328285{col 26}{space 2} .0332909{col 37}{space 1}   -0.99{col 46}{space 3}0.336{col 54}{space 4} -.102507{col 67}{space 3} .0368501
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .1087761{col 26}{space 2}  .046439{col 37}{space 1}    2.34{col 46}{space 3}0.030{col 54}{space 4} .0115781{col 67}{space 3} .2059741
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .0405625{col 26}{space 2} .0662457{col 37}{space 1}    0.61{col 46}{space 3}0.548{col 54}{space 4}-.0980914{col 67}{space 3} .1792164
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .0742962{col 26}{space 2} .0240887{col 37}{space 1}    3.08{col 46}{space 3}0.006{col 54}{space 4}  .023878{col 67}{space 3} .1247144
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.0490762{col 26}{space 2} .0398422{col 37}{space 1}   -1.23{col 46}{space 3}0.233{col 54}{space 4} -.132467{col 67}{space 3} .0343146
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.0538676{col 26}{space 2} .0059721{col 37}{space 1}   -9.02{col 46}{space 3}0.000{col 54}{space 4}-.0663674{col 67}{space 3}-.0413678
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.2571132{col 26}{space 2} .0041399{col 37}{space 1}  -62.11{col 46}{space 3}0.000{col 54}{space 4}-.2657782{col 67}{space 3}-.2484482
{txt}{space 9}13  {c |}{col 14}{res}{space 2} .0612773{col 26}{space 2} .0104029{col 37}{space 1}    5.89{col 46}{space 3}0.000{col 54}{space 4} .0395039{col 67}{space 3} .0830508
{txt}{space 9}15  {c |}{col 14}{res}{space 2}-.1363705{col 26}{space 2} .0105655{col 37}{space 1}  -12.91{col 46}{space 3}0.000{col 54}{space 4}-.1584843{col 67}{space 3}-.1142566
{txt}{space 9}16  {c |}{col 14}{res}{space 2}-.0339289{col 26}{space 2} .0213345{col 37}{space 1}   -1.59{col 46}{space 3}0.128{col 54}{space 4}-.0785826{col 67}{space 3} .0107247
{txt}{space 9}17  {c |}{col 14}{res}{space 2} .0396054{col 26}{space 2} .0163047{col 37}{space 1}    2.43{col 46}{space 3}0.025{col 54}{space 4} .0054793{col 67}{space 3} .0737316
{txt}{space 9}19  {c |}{col 14}{res}{space 2}  -.03332{col 26}{space 2} .0364925{col 37}{space 1}   -0.91{col 46}{space 3}0.373{col 54}{space 4}-.1096996{col 67}{space 3} .0430596
{txt}{space 9}21  {c |}{col 14}{res}{space 2}-.0244982{col 26}{space 2} .0087349{col 37}{space 1}   -2.80{col 46}{space 3}0.011{col 54}{space 4}-.0427805{col 67}{space 3}-.0062159
{txt}{space 9}22  {c |}{col 14}{res}{space 2}-.0258483{col 26}{space 2} .0305411{col 37}{space 1}   -0.85{col 46}{space 3}0.408{col 54}{space 4}-.0897716{col 67}{space 3}  .038075
{txt}{space 9}24  {c |}{col 14}{res}{space 2}-.0738546{col 26}{space 2} .0135594{col 37}{space 1}   -5.45{col 46}{space 3}0.000{col 54}{space 4}-.1022348{col 67}{space 3}-.0454744
{txt}{space 9}26  {c |}{col 14}{res}{space 2}-.0313253{col 26}{space 2} .0164783{col 37}{space 1}   -1.90{col 46}{space 3}0.073{col 54}{space 4}-.0658147{col 67}{space 3} .0031642
{txt}{space 9}28  {c |}{col 14}{res}{space 2}-.0852751{col 26}{space 2} .0288164{col 37}{space 1}   -2.96{col 46}{space 3}0.008{col 54}{space 4}-.1455885{col 67}{space 3}-.0249617
{txt}{space 9}30  {c |}{col 14}{res}{space 2}-.0210221{col 26}{space 2} .0223498{col 37}{space 1}   -0.94{col 46}{space 3}0.359{col 54}{space 4}-.0678007{col 67}{space 3} .0257565
{txt}{space 9}31  {c |}{col 14}{res}{space 2}-.0422985{col 26}{space 2} .0555771{col 37}{space 1}   -0.76{col 46}{space 3}0.456{col 54}{space 4}-.1586227{col 67}{space 3} .0740258
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 1.812329{col 26}{space 2} .1880694{col 37}{space 1}    9.64{col 46}{space 3}0.000{col 54}{space 4} 1.418695{col 67}{space 3} 2.205963
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store f

. 
. reg ENP_cst c.logdis   vv1million    popmillion i.dummies if south==0&yr>1849&yr<1950&dummies<32, cluster(dummies)

{txt}Linear regression                               Number of obs     = {res}    11,291
                                                {txt}{help j_robustsingular:F(2, 19) }         =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0441
                                                {txt}Root MSE          =    {res} .32815

{txt}{ralign 78:(Std. err. adjusted for {res:20} clusters in {res:dummies})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     ENP_cst{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}logdist {c |}{col 14}{res}{space 2} .0213724{col 26}{space 2} .0313588{col 37}{space 1}    0.68{col 46}{space 3}0.504{col 54}{space 4}-.0442624{col 67}{space 3} .0870071
{txt}{space 2}vv1million {c |}{col 14}{res}{space 2}  .011268{col 26}{space 2} .0078415{col 37}{space 1}    1.44{col 46}{space 3}0.167{col 54}{space 4}-.0051444{col 67}{space 3} .0276804
{txt}{space 2}popmillion {c |}{col 14}{res}{space 2}-.0070734{col 26}{space 2} .0102696{col 37}{space 1}   -0.69{col 46}{space 3}0.499{col 54}{space 4}-.0285678{col 67}{space 3} .0144211
{txt}{space 12} {c |}
{space 5}dummies {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0900495{col 26}{space 2} .0841919{col 37}{space 1}    1.07{col 46}{space 3}0.298{col 54}{space 4}-.0861661{col 67}{space 3} .2662652
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0869991{col 26}{space 2} .0491248{col 37}{space 1}    1.77{col 46}{space 3}0.093{col 54}{space 4}-.0158203{col 67}{space 3} .1898185
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .0245045{col 26}{space 2} .0799861{col 37}{space 1}    0.31{col 46}{space 3}0.763{col 54}{space 4}-.1429083{col 67}{space 3} .1919173
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .0570105{col 26}{space 2} .0454072{col 37}{space 1}    1.26{col 46}{space 3}0.225{col 54}{space 4} -.038028{col 67}{space 3} .1520489
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .1584081{col 26}{space 2} .0874842{col 37}{space 1}    1.81{col 46}{space 3}0.086{col 54}{space 4}-.0246985{col 67}{space 3} .3415146
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.0408281{col 26}{space 2} .0068212{col 37}{space 1}   -5.99{col 46}{space 3}0.000{col 54}{space 4}-.0551049{col 67}{space 3}-.0265512
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.2440365{col 26}{space 2} .0039887{col 37}{space 1}  -61.18{col 46}{space 3}0.000{col 54}{space 4} -.252385{col 67}{space 3} -.235688
{txt}{space 9}13  {c |}{col 14}{res}{space 2} .0905372{col 26}{space 2} .0173289{col 37}{space 1}    5.22{col 46}{space 3}0.000{col 54}{space 4} .0542674{col 67}{space 3}  .126807
{txt}{space 9}15  {c |}{col 14}{res}{space 2} -.086714{col 26}{space 2} .0158263{col 37}{space 1}   -5.48{col 46}{space 3}0.000{col 54}{space 4}-.1198388{col 67}{space 3}-.0535892
{txt}{space 9}16  {c |}{col 14}{res}{space 2} .0501876{col 26}{space 2} .0456085{col 37}{space 1}    1.10{col 46}{space 3}0.285{col 54}{space 4}-.0452721{col 67}{space 3} .1456473
{txt}{space 9}17  {c |}{col 14}{res}{space 2} .0803747{col 26}{space 2} .0179542{col 37}{space 1}    4.48{col 46}{space 3}0.000{col 54}{space 4} .0427962{col 67}{space 3} .1179533
{txt}{space 9}19  {c |}{col 14}{res}{space 2} .0479447{col 26}{space 2} .0429086{col 37}{space 1}    1.12{col 46}{space 3}0.278{col 54}{space 4}-.0418639{col 67}{space 3} .1377534
{txt}{space 9}21  {c |}{col 14}{res}{space 2}-.0279669{col 26}{space 2} .0067159{col 37}{space 1}   -4.16{col 46}{space 3}0.001{col 54}{space 4}-.0420234{col 67}{space 3}-.0139103
{txt}{space 9}22  {c |}{col 14}{res}{space 2} .0236086{col 26}{space 2} .0222794{col 37}{space 1}    1.06{col 46}{space 3}0.303{col 54}{space 4}-.0230227{col 67}{space 3} .0702399
{txt}{space 9}24  {c |}{col 14}{res}{space 2}-.0485937{col 26}{space 2} .0270965{col 37}{space 1}   -1.79{col 46}{space 3}0.089{col 54}{space 4}-.1053073{col 67}{space 3} .0081198
{txt}{space 9}26  {c |}{col 14}{res}{space 2}-.0232888{col 26}{space 2} .0255939{col 37}{space 1}   -0.91{col 46}{space 3}0.374{col 54}{space 4}-.0768574{col 67}{space 3} .0302798
{txt}{space 9}28  {c |}{col 14}{res}{space 2}-.0376521{col 26}{space 2} .0202086{col 37}{space 1}   -1.86{col 46}{space 3}0.078{col 54}{space 4}-.0799491{col 67}{space 3} .0046449
{txt}{space 9}30  {c |}{col 14}{res}{space 2} .0669255{col 26}{space 2} .0164481{col 37}{space 1}    4.07{col 46}{space 3}0.001{col 54}{space 4} .0324994{col 67}{space 3} .1013517
{txt}{space 9}31  {c |}{col 14}{res}{space 2}-.1856606{col 26}{space 2} .0471528{col 37}{space 1}   -3.94{col 46}{space 3}0.001{col 54}{space 4}-.2843525{col 67}{space 3}-.0869687
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}  1.88502{col 26}{space 2} .2032147{col 37}{space 1}    9.28{col 46}{space 3}0.000{col 54}{space 4} 1.459687{col 67}{space 3} 2.310353
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store h

. 
. reg ENP_cst c.logdis   vv1million    popmillion i.dummies if south==0&yr>1849&yr<1975&dummies<32, cluster(dummies)

{txt}Linear regression                               Number of obs     = {res}    14,701
                                                {txt}{help j_robustsingular:F(2, 19) }         =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0700
                                                {txt}Root MSE          =    {res} .31206

{txt}{ralign 78:(Std. err. adjusted for {res:20} clusters in {res:dummies})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     ENP_cst{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}logdist {c |}{col 14}{res}{space 2} .0144822{col 26}{space 2} .0319713{col 37}{space 1}    0.45{col 46}{space 3}0.656{col 54}{space 4}-.0524345{col 67}{space 3} .0813988
{txt}{space 2}vv1million {c |}{col 14}{res}{space 2} .0079053{col 26}{space 2} .0073058{col 37}{space 1}    1.08{col 46}{space 3}0.293{col 54}{space 4}-.0073859{col 67}{space 3} .0231964
{txt}{space 2}popmillion {c |}{col 14}{res}{space 2}-.0110507{col 26}{space 2} .0066764{col 37}{space 1}   -1.66{col 46}{space 3}0.114{col 54}{space 4}-.0250246{col 67}{space 3} .0029232
{txt}{space 12} {c |}
{space 5}dummies {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .1086916{col 26}{space 2} .0753984{col 37}{space 1}    1.44{col 46}{space 3}0.166{col 54}{space 4}-.0491191{col 67}{space 3} .2665023
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0800492{col 26}{space 2} .0502714{col 37}{space 1}    1.59{col 46}{space 3}0.128{col 54}{space 4}  -.02517{col 67}{space 3} .1852684
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .0011929{col 26}{space 2} .0831509{col 37}{space 1}    0.01{col 46}{space 3}0.989{col 54}{space 4}-.1728439{col 67}{space 3} .1752297
{txt}{space 10}7  {c |}{col 14}{res}{space 2}  .059385{col 26}{space 2} .0475889{col 37}{space 1}    1.25{col 46}{space 3}0.227{col 54}{space 4}-.0402196{col 67}{space 3} .1589897
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .2291413{col 26}{space 2} .0761738{col 37}{space 1}    3.01{col 46}{space 3}0.007{col 54}{space 4} .0697077{col 67}{space 3} .3885748
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.0406782{col 26}{space 2} .0072081{col 37}{space 1}   -5.64{col 46}{space 3}0.000{col 54}{space 4}-.0557649{col 67}{space 3}-.0255916
{txt}{space 9}12  {c |}{col 14}{res}{space 2} -.207211{col 26}{space 2} .0035925{col 37}{space 1}  -57.68{col 46}{space 3}0.000{col 54}{space 4}-.2147301{col 67}{space 3}-.1996918
{txt}{space 9}13  {c |}{col 14}{res}{space 2} .0871333{col 26}{space 2} .0186327{col 37}{space 1}    4.68{col 46}{space 3}0.000{col 54}{space 4} .0481347{col 67}{space 3} .1261319
{txt}{space 9}15  {c |}{col 14}{res}{space 2}-.0659041{col 26}{space 2} .0113154{col 37}{space 1}   -5.82{col 46}{space 3}0.000{col 54}{space 4}-.0895876{col 67}{space 3}-.0422207
{txt}{space 9}16  {c |}{col 14}{res}{space 2}  .061209{col 26}{space 2} .0409105{col 37}{space 1}    1.50{col 46}{space 3}0.151{col 54}{space 4}-.0244177{col 67}{space 3} .1468357
{txt}{space 9}17  {c |}{col 14}{res}{space 2}  .092987{col 26}{space 2} .0123882{col 37}{space 1}    7.51{col 46}{space 3}0.000{col 54}{space 4} .0670581{col 67}{space 3} .1189158
{txt}{space 9}19  {c |}{col 14}{res}{space 2} .0555249{col 26}{space 2} .0303496{col 37}{space 1}    1.83{col 46}{space 3}0.083{col 54}{space 4}-.0079976{col 67}{space 3} .1190473
{txt}{space 9}21  {c |}{col 14}{res}{space 2}-.0132424{col 26}{space 2} .0064844{col 37}{space 1}   -2.04{col 46}{space 3}0.055{col 54}{space 4}-.0268143{col 67}{space 3} .0003296
{txt}{space 9}22  {c |}{col 14}{res}{space 2} .0357647{col 26}{space 2} .0137587{col 37}{space 1}    2.60{col 46}{space 3}0.018{col 54}{space 4} .0069675{col 67}{space 3}  .064562
{txt}{space 9}24  {c |}{col 14}{res}{space 2}-.0717801{col 26}{space 2}  .022241{col 37}{space 1}   -3.23{col 46}{space 3}0.004{col 54}{space 4} -.118331{col 67}{space 3}-.0252292
{txt}{space 9}26  {c |}{col 14}{res}{space 2}-.0169396{col 26}{space 2} .0242973{col 37}{space 1}   -0.70{col 46}{space 3}0.494{col 54}{space 4}-.0677943{col 67}{space 3} .0339151
{txt}{space 9}28  {c |}{col 14}{res}{space 2}-.0102738{col 26}{space 2} .0167325{col 37}{space 1}   -0.61{col 46}{space 3}0.546{col 54}{space 4}-.0452954{col 67}{space 3} .0247477
{txt}{space 9}30  {c |}{col 14}{res}{space 2} .0539149{col 26}{space 2} .0111795{col 37}{space 1}    4.82{col 46}{space 3}0.000{col 54}{space 4} .0305159{col 67}{space 3} .0773138
{txt}{space 9}31  {c |}{col 14}{res}{space 2}-.1025198{col 26}{space 2} .0429906{col 37}{space 1}   -2.38{col 46}{space 3}0.028{col 54}{space 4}-.1925001{col 67}{space 3}-.0125395
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 1.907625{col 26}{space 2} .2071735{col 37}{space 1}    9.21{col 46}{space 3}0.000{col 54}{space 4} 1.474005{col 67}{space 3} 2.341244
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store i

. 
. reg ENP_cst c.logdis   vv1million    popmillion i.dummies if south==0&yr>1849&yr<2000&dummies<32, cluster(dummies)

{txt}Linear regression                               Number of obs     = {res}    17,671
                                                {txt}{help j_robustsingular:F(2, 19) }         =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0743
                                                {txt}Root MSE          =    {res} .31869

{txt}{ralign 78:(Std. err. adjusted for {res:20} clusters in {res:dummies})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     ENP_cst{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}logdist {c |}{col 14}{res}{space 2} .0215753{col 26}{space 2} .0285559{col 37}{space 1}    0.76{col 46}{space 3}0.459{col 54}{space 4}-.0381929{col 67}{space 3} .0813435
{txt}{space 2}vv1million {c |}{col 14}{res}{space 2} .0031485{col 26}{space 2}  .011741{col 37}{space 1}    0.27{col 46}{space 3}0.791{col 54}{space 4}-.0214257{col 67}{space 3} .0277226
{txt}{space 2}popmillion {c |}{col 14}{res}{space 2}-.0080765{col 26}{space 2}  .006208{col 37}{space 1}   -1.30{col 46}{space 3}0.209{col 54}{space 4}-.0210699{col 67}{space 3}  .004917
{txt}{space 12} {c |}
{space 5}dummies {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0804986{col 26}{space 2} .0688774{col 37}{space 1}    1.17{col 46}{space 3}0.257{col 54}{space 4}-.0636635{col 67}{space 3} .2246607
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0766691{col 26}{space 2} .0451284{col 37}{space 1}    1.70{col 46}{space 3}0.106{col 54}{space 4}-.0177857{col 67}{space 3}  .171124
{txt}{space 10}6  {c |}{col 14}{res}{space 2} -.017054{col 26}{space 2} .0754705{col 37}{space 1}   -0.23{col 46}{space 3}0.824{col 54}{space 4}-.1750155{col 67}{space 3} .1409075
{txt}{space 10}7  {c |}{col 14}{res}{space 2}  .039217{col 26}{space 2} .0451308{col 37}{space 1}    0.87{col 46}{space 3}0.396{col 54}{space 4}-.0552429{col 67}{space 3} .1336768
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .2292495{col 26}{space 2} .0750735{col 37}{space 1}    3.05{col 46}{space 3}0.007{col 54}{space 4} .0721189{col 67}{space 3} .3863802
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.0445389{col 26}{space 2} .0064331{col 37}{space 1}   -6.92{col 46}{space 3}0.000{col 54}{space 4}-.0580035{col 67}{space 3}-.0310742
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.1784393{col 26}{space 2} .0030704{col 37}{space 1}  -58.12{col 46}{space 3}0.000{col 54}{space 4}-.1848657{col 67}{space 3}-.1720129
{txt}{space 9}13  {c |}{col 14}{res}{space 2} .0839609{col 26}{space 2} .0176897{col 37}{space 1}    4.75{col 46}{space 3}0.000{col 54}{space 4} .0469358{col 67}{space 3} .1209859
{txt}{space 9}15  {c |}{col 14}{res}{space 2}-.0826096{col 26}{space 2} .0110287{col 37}{space 1}   -7.49{col 46}{space 3}0.000{col 54}{space 4}-.1056929{col 67}{space 3}-.0595264
{txt}{space 9}16  {c |}{col 14}{res}{space 2} .0328569{col 26}{space 2} .0411064{col 37}{space 1}    0.80{col 46}{space 3}0.434{col 54}{space 4}-.0531798{col 67}{space 3} .1188936
{txt}{space 9}17  {c |}{col 14}{res}{space 2} .0746162{col 26}{space 2} .0141724{col 37}{space 1}    5.26{col 46}{space 3}0.000{col 54}{space 4}  .044953{col 67}{space 3} .1042794
{txt}{space 9}19  {c |}{col 14}{res}{space 2} .0083794{col 26}{space 2}  .034922{col 37}{space 1}    0.24{col 46}{space 3}0.813{col 54}{space 4}-.0647132{col 67}{space 3} .0814719
{txt}{space 9}21  {c |}{col 14}{res}{space 2}-.0133036{col 26}{space 2} .0061789{col 37}{space 1}   -2.15{col 46}{space 3}0.044{col 54}{space 4}-.0262362{col 67}{space 3} -.000371
{txt}{space 9}22  {c |}{col 14}{res}{space 2} .0182732{col 26}{space 2} .0158467{col 37}{space 1}    1.15{col 46}{space 3}0.263{col 54}{space 4}-.0148942{col 67}{space 3} .0514407
{txt}{space 9}24  {c |}{col 14}{res}{space 2}-.1095285{col 26}{space 2} .0218171{col 37}{space 1}   -5.02{col 46}{space 3}0.000{col 54}{space 4}-.1551922{col 67}{space 3}-.0638648
{txt}{space 9}26  {c |}{col 14}{res}{space 2}-.0481333{col 26}{space 2} .0290232{col 37}{space 1}   -1.66{col 46}{space 3}0.114{col 54}{space 4}-.1088796{col 67}{space 3}  .012613
{txt}{space 9}28  {c |}{col 14}{res}{space 2}-.0246935{col 26}{space 2} .0167297{col 37}{space 1}   -1.48{col 46}{space 3}0.156{col 54}{space 4}-.0597091{col 67}{space 3} .0103221
{txt}{space 9}30  {c |}{col 14}{res}{space 2} .0087421{col 26}{space 2} .0131595{col 37}{space 1}    0.66{col 46}{space 3}0.514{col 54}{space 4}-.0188011{col 67}{space 3} .0362853
{txt}{space 9}31  {c |}{col 14}{res}{space 2} -.058964{col 26}{space 2}  .078236{col 37}{space 1}   -0.75{col 46}{space 3}0.460{col 54}{space 4}-.2227139{col 67}{space 3} .1047858
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 1.850896{col 26}{space 2} .1849208{col 37}{space 1}   10.01{col 46}{space 3}0.000{col 54}{space 4} 1.463853{col 67}{space 3}  2.23794
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store j

. 
. reg ENP_cst c.logdis   vv1million   popmillion i.dummies if south==0&yr>1849&yr<2020&dummies<32, cluster(dummies)

{txt}Linear regression                               Number of obs     = {res}    19,736
                                                {txt}{help j_robustsingular:F(2, 19) }         =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0911
                                                {txt}Root MSE          =    {res} .32057

{txt}{ralign 78:(Std. err. adjusted for {res:20} clusters in {res:dummies})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     ENP_cst{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}logdist {c |}{col 14}{res}{space 2} .0377346{col 26}{space 2}  .022615{col 37}{space 1}    1.67{col 46}{space 3}0.112{col 54}{space 4}-.0095991{col 67}{space 3} .0850682
{txt}{space 2}vv1million {c |}{col 14}{res}{space 2} .0034415{col 26}{space 2} .0144617{col 37}{space 1}    0.24{col 46}{space 3}0.814{col 54}{space 4}-.0268272{col 67}{space 3} .0337101
{txt}{space 2}popmillion {c |}{col 14}{res}{space 2}-.0063682{col 26}{space 2} .0049879{col 37}{space 1}   -1.28{col 46}{space 3}0.217{col 54}{space 4}-.0168081{col 67}{space 3} .0040717
{txt}{space 12} {c |}
{space 5}dummies {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0600306{col 26}{space 2} .0562564{col 37}{space 1}    1.07{col 46}{space 3}0.299{col 54}{space 4}-.0577154{col 67}{space 3} .1777766
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0813755{col 26}{space 2} .0357877{col 37}{space 1}    2.27{col 46}{space 3}0.035{col 54}{space 4} .0064711{col 67}{space 3}   .15628
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.0066464{col 26}{space 2} .0611095{col 37}{space 1}   -0.11{col 46}{space 3}0.915{col 54}{space 4}  -.13455{col 67}{space 3} .1212572
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .0225391{col 26}{space 2} .0379247{col 37}{space 1}    0.59{col 46}{space 3}0.559{col 54}{space 4}-.0568381{col 67}{space 3} .1019164
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .2396697{col 26}{space 2} .0632857{col 37}{space 1}    3.79{col 46}{space 3}0.001{col 54}{space 4} .1072113{col 67}{space 3} .3721282
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.0511859{col 26}{space 2} .0050285{col 37}{space 1}  -10.18{col 46}{space 3}0.000{col 54}{space 4}-.0617107{col 67}{space 3} -.040661
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.1867041{col 26}{space 2} .0023192{col 37}{space 1}  -80.50{col 46}{space 3}0.000{col 54}{space 4}-.1915581{col 67}{space 3}  -.18185
{txt}{space 9}13  {c |}{col 14}{res}{space 2} .0737116{col 26}{space 2} .0148238{col 37}{space 1}    4.97{col 46}{space 3}0.000{col 54}{space 4} .0426851{col 67}{space 3} .1047382
{txt}{space 9}15  {c |}{col 14}{res}{space 2}-.1019457{col 26}{space 2} .0091358{col 37}{space 1}  -11.16{col 46}{space 3}0.000{col 54}{space 4}-.1210671{col 67}{space 3}-.0828243
{txt}{space 9}16  {c |}{col 14}{res}{space 2} .0101602{col 26}{space 2}     .035{col 37}{space 1}    0.29{col 46}{space 3}0.775{col 54}{space 4}-.0630956{col 67}{space 3}  .083416
{txt}{space 9}17  {c |}{col 14}{res}{space 2} .0507951{col 26}{space 2} .0124513{col 37}{space 1}    4.08{col 46}{space 3}0.001{col 54}{space 4} .0247343{col 67}{space 3}  .076856
{txt}{space 9}19  {c |}{col 14}{res}{space 2}-.0365694{col 26}{space 2} .0307505{col 37}{space 1}   -1.19{col 46}{space 3}0.249{col 54}{space 4}-.1009309{col 67}{space 3} .0277922
{txt}{space 9}21  {c |}{col 14}{res}{space 2}-.0261389{col 26}{space 2} .0049887{col 37}{space 1}   -5.24{col 46}{space 3}0.000{col 54}{space 4}-.0365805{col 67}{space 3}-.0156974
{txt}{space 9}22  {c |}{col 14}{res}{space 2}-.0169157{col 26}{space 2} .0131735{col 37}{space 1}   -1.28{col 46}{space 3}0.215{col 54}{space 4}-.0444881{col 67}{space 3} .0106567
{txt}{space 9}24  {c |}{col 14}{res}{space 2}-.1283485{col 26}{space 2} .0183329{col 37}{space 1}   -7.00{col 46}{space 3}0.000{col 54}{space 4}-.1667198{col 67}{space 3}-.0899773
{txt}{space 9}26  {c |}{col 14}{res}{space 2}-.0687649{col 26}{space 2} .0258067{col 37}{space 1}   -2.66{col 46}{space 3}0.015{col 54}{space 4} -.122779{col 67}{space 3}-.0147509
{txt}{space 9}28  {c |}{col 14}{res}{space 2}-.0473579{col 26}{space 2} .0132899{col 37}{space 1}   -3.56{col 46}{space 3}0.002{col 54}{space 4} -.075174{col 67}{space 3}-.0195419
{txt}{space 9}30  {c |}{col 14}{res}{space 2}-.0320203{col 26}{space 2} .0111229{col 37}{space 1}   -2.88{col 46}{space 3}0.010{col 54}{space 4}-.0553008{col 67}{space 3}-.0087397
{txt}{space 9}31  {c |}{col 14}{res}{space 2}-.1124265{col 26}{space 2}  .084983{col 37}{space 1}   -1.32{col 46}{space 3}0.202{col 54}{space 4}-.2902979{col 67}{space 3} .0654449
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 1.755357{col 26}{space 2} .1460064{col 37}{space 1}   12.02{col 46}{space 3}0.000{col 54}{space 4} 1.449762{col 67}{space 3} 2.060951
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store k

. 
. coefplot d e f h i j k  , keep ( logdist) yline(0) xlabel(0.625(0.125)1.375, grid) title("Non-South") ytitle("Coefficient on (the log of) distance") xlabel(0.625 "1875" 0.750 "1900" 0.875 "1925" 1.00 "1950" 1.125 "1975" 1.25 "2000" 1.375 "2016")  legend(off) ciopts(lcolor(ebblue)) mcolor(ebblue) vert name(c4)
{res}
{com}. 
. graph combine c3 c4, saving("Figure 4_The Effect_of_the_Distance_to_Washington_with_a_Restricted_Sample")
{res}{txt}file {bf:Figure 4_The Effect_of_the_Distance_to_Washington_with_a_Restricted_Sample.gph} saved

{com}. 
. 
. 
. 
. 
. 
. 
. *Table 2

. 
. reg ENP_cst c.yr vv1million popmillion  i.dummies if timezones==5, cluster(dummies)

{txt}Linear regression                               Number of obs     = {res}    19,198
                                                {txt}{help j_robustsingular:F(2, 22) }         =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.2063
                                                {txt}Root MSE          =    {res} .32596

{txt}{ralign 78:(Std. err. adjusted for {res:23} clusters in {res:dummies})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     ENP_cst{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}yr {c |}{col 14}{res}{space 2} -.002036{col 26}{space 2} .0003719{col 37}{space 1}   -5.47{col 46}{space 3}0.000{col 54}{space 4}-.0028072{col 67}{space 3}-.0012647
{txt}{space 2}vv1million {c |}{col 14}{res}{space 2} .0817489{col 26}{space 2} .0361156{col 37}{space 1}    2.26{col 46}{space 3}0.034{col 54}{space 4} .0068498{col 67}{space 3} .1566481
{txt}{space 2}popmillion {c |}{col 14}{res}{space 2} .0180415{col 26}{space 2} .0059049{col 37}{space 1}    3.06{col 46}{space 3}0.006{col 54}{space 4} .0057956{col 67}{space 3} .0302875
{txt}{space 12} {c |}
{space 5}dummies {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.1719024{col 26}{space 2} .0426259{col 37}{space 1}   -4.03{col 46}{space 3}0.001{col 54}{space 4} -.260303{col 67}{space 3}-.0835018
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.5286294{col 26}{space 2} .0083453{col 37}{space 1}  -63.34{col 46}{space 3}0.000{col 54}{space 4}-.5459365{col 67}{space 3}-.5113222
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0147297{col 26}{space 2} .0020921{col 37}{space 1}    7.04{col 46}{space 3}0.000{col 54}{space 4}  .010391{col 67}{space 3} .0190685
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.4682337{col 26}{space 2} .0182438{col 37}{space 1}  -25.67{col 46}{space 3}0.000{col 54}{space 4}-.5060691{col 67}{space 3}-.4303983
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.1362863{col 26}{space 2} .0094961{col 37}{space 1}  -14.35{col 46}{space 3}0.000{col 54}{space 4}-.1559801{col 67}{space 3}-.1165926
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.0868019{col 26}{space 2} .0208985{col 37}{space 1}   -4.15{col 46}{space 3}0.000{col 54}{space 4}-.1301428{col 67}{space 3} -.043461
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.0490563{col 26}{space 2}  .060683{col 37}{space 1}   -0.81{col 46}{space 3}0.428{col 54}{space 4}-.1749052{col 67}{space 3} .0767926
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.3062741{col 26}{space 2} .0153905{col 37}{space 1}  -19.90{col 46}{space 3}0.000{col 54}{space 4} -.338192{col 67}{space 3}-.2743562
{txt}{space 9}10  {c |}{col 14}{res}{space 2}-.2404852{col 26}{space 2} .0173115{col 37}{space 1}  -13.89{col 46}{space 3}0.000{col 54}{space 4}-.2763871{col 67}{space 3}-.2045833
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.0715291{col 26}{space 2} .0011081{col 37}{space 1}  -64.55{col 46}{space 3}0.000{col 54}{space 4}-.0738271{col 67}{space 3}-.0692311
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.1774841{col 26}{space 2} .0084273{col 37}{space 1}  -21.06{col 46}{space 3}0.000{col 54}{space 4}-.1949613{col 67}{space 3}-.1600069
{txt}{space 9}13  {c |}{col 14}{res}{space 2} .0295174{col 26}{space 2} .0051875{col 37}{space 1}    5.69{col 46}{space 3}0.000{col 54}{space 4} .0187592{col 67}{space 3} .0402756
{txt}{space 9}14  {c |}{col 14}{res}{space 2}-.3329767{col 26}{space 2} .0134274{col 37}{space 1}  -24.80{col 46}{space 3}0.000{col 54}{space 4}-.3608233{col 67}{space 3}  -.30513
{txt}{space 9}15  {c |}{col 14}{res}{space 2}-.1708452{col 26}{space 2} .0116779{col 37}{space 1}  -14.63{col 46}{space 3}0.000{col 54}{space 4}-.1950636{col 67}{space 3}-.1466268
{txt}{space 9}16  {c |}{col 14}{res}{space 2}-.1499114{col 26}{space 2} .0326977{col 37}{space 1}   -4.58{col 46}{space 3}0.000{col 54}{space 4}-.2177224{col 67}{space 3}-.0821005
{txt}{space 9}17  {c |}{col 14}{res}{space 2}-.0252094{col 26}{space 2} .0154249{col 37}{space 1}   -1.63{col 46}{space 3}0.116{col 54}{space 4}-.0571987{col 67}{space 3} .0067799
{txt}{space 9}21  {c |}{col 14}{res}{space 2}-.0326767{col 26}{space 2} .0078386{col 37}{space 1}   -4.17{col 46}{space 3}0.000{col 54}{space 4}-.0489329{col 67}{space 3}-.0164204
{txt}{space 9}24  {c |}{col 14}{res}{space 2}-.1973623{col 26}{space 2} .0177185{col 37}{space 1}  -11.14{col 46}{space 3}0.000{col 54}{space 4}-.2341081{col 67}{space 3}-.1606164
{txt}{space 9}26  {c |}{col 14}{res}{space 2}-.1614755{col 26}{space 2} .0271386{col 37}{space 1}   -5.95{col 46}{space 3}0.000{col 54}{space 4}-.2177576{col 67}{space 3}-.1051934
{txt}{space 9}27  {c |}{col 14}{res}{space 2}-.3658525{col 26}{space 2} .0478681{col 37}{space 1}   -7.64{col 46}{space 3}0.000{col 54}{space 4}-.4651248{col 67}{space 3}-.2665801
{txt}{space 9}50  {c |}{col 14}{res}{space 2}-.0385423{col 26}{space 2} .0052608{col 37}{space 1}   -7.33{col 46}{space 3}0.000{col 54}{space 4}-.0494525{col 67}{space 3}-.0276322
{txt}{space 9}51  {c |}{col 14}{res}{space 2} .2466465{col 26}{space 2} .0126741{col 37}{space 1}   19.46{col 46}{space 3}0.000{col 54}{space 4} .2203621{col 67}{space 3}  .272931
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 5.908686{col 26}{space 2} .7131949{col 37}{space 1}    8.28{col 46}{space 3}0.000{col 54}{space 4}  4.42961{col 67}{space 3} 7.387762
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store m1, title(GMT-5)

. 
. reg ENP_cst c.yr vv1million popmillion  i.dummies if timezones==6, cluster(dummies)

{txt}Linear regression                               Number of obs     = {res}     8,776
                                                {txt}{help j_robustsingular:F(2, 14) }         =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.2702
                                                {txt}Root MSE          =    {res} .32735

{txt}{ralign 78:(Std. err. adjusted for {res:15} clusters in {res:dummies})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     ENP_cst{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}yr {c |}{col 14}{res}{space 2}-.0026599{col 26}{space 2} .0005639{col 37}{space 1}   -4.72{col 46}{space 3}0.000{col 54}{space 4}-.0038693{col 67}{space 3}-.0014505
{txt}{space 2}vv1million {c |}{col 14}{res}{space 2} .0462863{col 26}{space 2} .0277464{col 37}{space 1}    1.67{col 46}{space 3}0.117{col 54}{space 4}-.0132237{col 67}{space 3} .1057964
{txt}{space 2}popmillion {c |}{col 14}{res}{space 2} .0218905{col 26}{space 2} .0089002{col 37}{space 1}    2.46{col 46}{space 3}0.028{col 54}{space 4} .0028015{col 67}{space 3} .0409795
{txt}{space 12} {c |}
{space 5}dummies {c |}
{space 9}19  {c |}{col 14}{res}{space 2} .2380319{col 26}{space 2} .0488364{col 37}{space 1}    4.87{col 46}{space 3}0.000{col 54}{space 4} .1332883{col 67}{space 3} .3427756
{txt}{space 9}20  {c |}{col 14}{res}{space 2} .0026983{col 26}{space 2} .0071721{col 37}{space 1}    0.38{col 46}{space 3}0.712{col 54}{space 4}-.0126844{col 67}{space 3} .0180811
{txt}{space 9}22  {c |}{col 14}{res}{space 2}  .362759{col 26}{space 2} .0156927{col 37}{space 1}   23.12{col 46}{space 3}0.000{col 54}{space 4} .3291016{col 67}{space 3} .3964164
{txt}{space 9}23  {c |}{col 14}{res}{space 2}-.0399367{col 26}{space 2} .0049238{col 37}{space 1}   -8.11{col 46}{space 3}0.000{col 54}{space 4}-.0504972{col 67}{space 3}-.0293763
{txt}{space 9}25  {c |}{col 14}{res}{space 2} .0999439{col 26}{space 2} .0014876{col 37}{space 1}   67.19{col 46}{space 3}0.000{col 54}{space 4} .0967534{col 67}{space 3} .1031345
{txt}{space 9}28  {c |}{col 14}{res}{space 2} .3700926{col 26}{space 2} .0048876{col 37}{space 1}   75.72{col 46}{space 3}0.000{col 54}{space 4} .3596097{col 67}{space 3} .3805756
{txt}{space 9}29  {c |}{col 14}{res}{space 2}-.1590269{col 26}{space 2} .0785737{col 37}{space 1}   -2.02{col 46}{space 3}0.062{col 54}{space 4}-.3275508{col 67}{space 3}  .009497
{txt}{space 9}30  {c |}{col 14}{res}{space 2} .3756974{col 26}{space 2} .0105385{col 37}{space 1}   35.65{col 46}{space 3}0.000{col 54}{space 4} .3530946{col 67}{space 3} .3983002
{txt}{space 9}32  {c |}{col 14}{res}{space 2} .4725795{col 26}{space 2} .0107608{col 37}{space 1}   43.92{col 46}{space 3}0.000{col 54}{space 4}    .4495{col 67}{space 3} .4956591
{txt}{space 9}34  {c |}{col 14}{res}{space 2} .4324938{col 26}{space 2} .0044399{col 37}{space 1}   97.41{col 46}{space 3}0.000{col 54}{space 4} .4229711{col 67}{space 3} .4420165
{txt}{space 9}36  {c |}{col 14}{res}{space 2} .4430232{col 26}{space 2} .0083423{col 37}{space 1}   53.11{col 46}{space 3}0.000{col 54}{space 4} .4251308{col 67}{space 3} .4609156
{txt}{space 9}42  {c |}{col 14}{res}{space 2}  .408323{col 26}{space 2}  .017391{col 37}{space 1}   23.48{col 46}{space 3}0.000{col 54}{space 4} .3710231{col 67}{space 3} .4456228
{txt}{space 9}43  {c |}{col 14}{res}{space 2} .4922752{col 26}{space 2} .0175422{col 37}{space 1}   28.06{col 46}{space 3}0.000{col 54}{space 4} .4546508{col 67}{space 3} .5298996
{txt}{space 9}45  {c |}{col 14}{res}{space 2} .3559836{col 26}{space 2} .0133312{col 37}{space 1}   26.70{col 46}{space 3}0.000{col 54}{space 4}  .327391{col 67}{space 3} .3845762
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 6.674311{col 26}{space 2} 1.079566{col 37}{space 1}    6.18{col 46}{space 3}0.000{col 54}{space 4} 4.358873{col 67}{space 3} 8.989749
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store m2, title(GMT-6)

. 
. reg ENP_cst c.yr vv1million popmillion  i.dummies if timezones==7, cluster(dummies)

{txt}Linear regression                               Number of obs     = {res}       857
                                                {txt}{help j_robustsingular:F(2, 5) }          =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.1428
                                                {txt}Root MSE          =    {res} .21045

{txt}{ralign 78:(Std. err. adjusted for {res:6} clusters in {res:dummies})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     ENP_cst{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}yr {c |}{col 14}{res}{space 2}-.0038044{col 26}{space 2} .0010714{col 37}{space 1}   -3.55{col 46}{space 3}0.016{col 54}{space 4}-.0065585{col 67}{space 3}-.0010503
{txt}{space 2}vv1million {c |}{col 14}{res}{space 2}  .608002{col 26}{space 2} .2700835{col 37}{space 1}    2.25{col 46}{space 3}0.074{col 54}{space 4}-.0862698{col 67}{space 3} 1.302274
{txt}{space 2}popmillion {c |}{col 14}{res}{space 2} .0469536{col 26}{space 2} .0116122{col 37}{space 1}    4.04{col 46}{space 3}0.010{col 54}{space 4} .0171034{col 67}{space 3} .0768037
{txt}{space 12} {c |}
{space 5}dummies {c |}
{space 9}38  {c |}{col 14}{res}{space 2} .1210023{col 26}{space 2} .0137324{col 37}{space 1}    8.81{col 46}{space 3}0.000{col 54}{space 4} .0857021{col 67}{space 3} .1563026
{txt}{space 9}40  {c |}{col 14}{res}{space 2} .1026521{col 26}{space 2} .0230792{col 37}{space 1}    4.45{col 46}{space 3}0.007{col 54}{space 4} .0433252{col 67}{space 3} .1619789
{txt}{space 9}44  {c |}{col 14}{res}{space 2} .0962045{col 26}{space 2} .0178046{col 37}{space 1}    5.40{col 46}{space 3}0.003{col 54}{space 4} .0504363{col 67}{space 3} .1419728
{txt}{space 9}46  {c |}{col 14}{res}{space 2}  .035894{col 26}{space 2} .0231541{col 37}{space 1}    1.55{col 46}{space 3}0.182{col 54}{space 4}-.0236255{col 67}{space 3} .0954136
{txt}{space 9}47  {c |}{col 14}{res}{space 2}-.0636857{col 26}{space 2} .0134713{col 37}{space 1}   -4.73{col 46}{space 3}0.005{col 54}{space 4}-.0983149{col 67}{space 3}-.0290565
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 9.233337{col 26}{space 2} 2.042192{col 37}{space 1}    4.52{col 46}{space 3}0.006{col 54}{space 4} 3.983716{col 67}{space 3} 14.48296
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store m3, title(GMT-7)

. 
. reg ENP_cst c.yr vv1million popmillion  i.dummies if timezones==8, cluster(dummies)

{txt}Linear regression                               Number of obs     = {res}     2,743
                                                {txt}{help j_robustsingular:F(2, 4) }          =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.1462
                                                {txt}Root MSE          =    {res} .32842

{txt}{ralign 78:(Std. err. adjusted for {res:5} clusters in {res:dummies})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     ENP_cst{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}yr {c |}{col 14}{res}{space 2}-.0072091{col 26}{space 2} .0015997{col 37}{space 1}   -4.51{col 46}{space 3}0.011{col 54}{space 4}-.0116505{col 67}{space 3}-.0027677
{txt}{space 2}vv1million {c |}{col 14}{res}{space 2} 1.236342{col 26}{space 2} .0967373{col 37}{space 1}   12.78{col 46}{space 3}0.000{col 54}{space 4} .9677565{col 67}{space 3} 1.504928
{txt}{space 2}popmillion {c |}{col 14}{res}{space 2} .0145538{col 26}{space 2} .0041576{col 37}{space 1}    3.50{col 46}{space 3}0.025{col 54}{space 4} .0030106{col 67}{space 3}  .026097
{txt}{space 12} {c |}
{space 5}dummies {c |}
{space 9}33  {c |}{col 14}{res}{space 2} .3300534{col 26}{space 2}  .056222{col 37}{space 1}    5.87{col 46}{space 3}0.004{col 54}{space 4} .1739562{col 67}{space 3} .4861505
{txt}{space 9}35  {c |}{col 14}{res}{space 2}  .477668{col 26}{space 2} .0673193{col 37}{space 1}    7.10{col 46}{space 3}0.002{col 54}{space 4} .2907597{col 67}{space 3} .6645763
{txt}{space 9}39  {c |}{col 14}{res}{space 2} .3266616{col 26}{space 2} .0680361{col 37}{space 1}    4.80{col 46}{space 3}0.009{col 54}{space 4}  .137763{col 67}{space 3} .5155601
{txt}{space 9}41  {c |}{col 14}{res}{space 2} .4215871{col 26}{space 2} .0650539{col 37}{space 1}    6.48{col 46}{space 3}0.003{col 54}{space 4} .2409687{col 67}{space 3} .6022056
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 15.53645{col 26}{space 2} 3.052477{col 37}{space 1}    5.09{col 46}{space 3}0.007{col 54}{space 4} 7.061413{col 67}{space 3} 24.01148
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store m4, title(GMT-8)

. 
. estout m1 m2 m3 m4 using Table2_The_Effect_of_Distance_on_the_Number_of_Parties.text, cells(b(star fmt(4)) se(par fmt(4)))legend label stats(r2) varlabels(_cons Constant)
{res}{txt}(output written to {browse  `"Table2_The_Effect_of_Distance_on_the_Number_of_Parties.text"'})

{com}. 
. 
. 
. 
. 
. *Table A1

. 
. reg ENP_cst c.logdis   vv1million   popmillion i.dummies if yr<1850&dummies!=48&dummies!=49, cluster(dummies)

{txt}Linear regression                               Number of obs     = {res}     1,390
                                                {txt}{help j_robustsingular:F(2, 25) }         =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.1790
                                                {txt}Root MSE          =    {res} .29548

{txt}{ralign 78:(Std. err. adjusted for {res:26} clusters in {res:dummies})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     ENP_cst{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}logdist {c |}{col 14}{res}{space 2} .0177318{col 26}{space 2} .0303154{col 37}{space 1}    0.58{col 46}{space 3}0.564{col 54}{space 4} -.044704{col 67}{space 3} .0801675
{txt}{space 2}vv1million {c |}{col 14}{res}{space 2} .3247369{col 26}{space 2} .1635215{col 37}{space 1}    1.99{col 46}{space 3}0.058{col 54}{space 4}-.0120419{col 67}{space 3} .6615156
{txt}{space 2}popmillion {c |}{col 14}{res}{space 2} .2282388{col 26}{space 2} .0440683{col 37}{space 1}    5.18{col 46}{space 3}0.000{col 54}{space 4} .1374784{col 67}{space 3} .3189992
{txt}{space 12} {c |}
{space 5}dummies {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.5546582{col 26}{space 2} .0636656{col 37}{space 1}   -8.71{col 46}{space 3}0.000{col 54}{space 4}-.6857799{col 67}{space 3}-.4235364
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.4421514{col 26}{space 2} .0142272{col 37}{space 1}  -31.08{col 46}{space 3}0.000{col 54}{space 4}-.4714528{col 67}{space 3}  -.41285
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.1863112{col 26}{space 2} .0495207{col 37}{space 1}   -3.76{col 46}{space 3}0.001{col 54}{space 4}-.2883011{col 67}{space 3}-.0843214
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.4393026{col 26}{space 2} .0227631{col 37}{space 1}  -19.30{col 46}{space 3}0.000{col 54}{space 4}-.4861841{col 67}{space 3} -.392421
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.3382109{col 26}{space 2} .0741831{col 37}{space 1}   -4.56{col 46}{space 3}0.000{col 54}{space 4}-.4909938{col 67}{space 3}-.1854279
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.2978268{col 26}{space 2} .0329291{col 37}{space 1}   -9.04{col 46}{space 3}0.000{col 54}{space 4}-.3656455{col 67}{space 3}-.2300081
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.5805633{col 26}{space 2} .0869511{col 37}{space 1}   -6.68{col 46}{space 3}0.000{col 54}{space 4}-.7596425{col 67}{space 3}-.4014842
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.5064167{col 26}{space 2} .0600711{col 37}{space 1}   -8.43{col 46}{space 3}0.000{col 54}{space 4}-.6301354{col 67}{space 3} -.382698
{txt}{space 9}10  {c |}{col 14}{res}{space 2}-.6357167{col 26}{space 2} .0245574{col 37}{space 1}  -25.89{col 46}{space 3}0.000{col 54}{space 4}-.6862937{col 67}{space 3}-.5851398
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.3834005{col 26}{space 2} .0109398{col 37}{space 1}  -35.05{col 46}{space 3}0.000{col 54}{space 4}-.4059313{col 67}{space 3}-.3608696
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.0824538{col 26}{space 2}  .004535{col 37}{space 1}  -18.18{col 46}{space 3}0.000{col 54}{space 4}-.0917938{col 67}{space 3}-.0731138
{txt}{space 9}13  {c |}{col 14}{res}{space 2}-.2040621{col 26}{space 2} .0125133{col 37}{space 1}  -16.31{col 46}{space 3}0.000{col 54}{space 4}-.2298338{col 67}{space 3}-.1782903
{txt}{space 9}14  {c |}{col 14}{res}{space 2}-.5433649{col 26}{space 2} .0239139{col 37}{space 1}  -22.72{col 46}{space 3}0.000{col 54}{space 4}-.5926165{col 67}{space 3}-.4941132
{txt}{space 9}15  {c |}{col 14}{res}{space 2}-.5307189{col 26}{space 2} .0214605{col 37}{space 1}  -24.73{col 46}{space 3}0.000{col 54}{space 4}-.5749176{col 67}{space 3}-.4865201
{txt}{space 9}16  {c |}{col 14}{res}{space 2}-.4872551{col 26}{space 2} .0459153{col 37}{space 1}  -10.61{col 46}{space 3}0.000{col 54}{space 4}-.5818195{col 67}{space 3}-.3926908
{txt}{space 9}17  {c |}{col 14}{res}{space 2} -.359039{col 26}{space 2} .0146911{col 37}{space 1}  -24.44{col 46}{space 3}0.000{col 54}{space 4}-.3892959{col 67}{space 3} -.328782
{txt}{space 9}18  {c |}{col 14}{res}{space 2}-.3363497{col 26}{space 2} .0209078{col 37}{space 1}  -16.09{col 46}{space 3}0.000{col 54}{space 4}-.3794102{col 67}{space 3}-.2932892
{txt}{space 9}19  {c |}{col 14}{res}{space 2}-.3838551{col 26}{space 2} .0125926{col 37}{space 1}  -30.48{col 46}{space 3}0.000{col 54}{space 4}  -.40979{col 67}{space 3}-.3579202
{txt}{space 9}20  {c |}{col 14}{res}{space 2}-.5899882{col 26}{space 2} .0186169{col 37}{space 1}  -31.69{col 46}{space 3}0.000{col 54}{space 4}-.6283304{col 67}{space 3} -.551646
{txt}{space 9}21  {c |}{col 14}{res}{space 2}-.0845385{col 26}{space 2} .0125045{col 37}{space 1}   -6.76{col 46}{space 3}0.000{col 54}{space 4} -.110292{col 67}{space 3} -.058785
{txt}{space 9}22  {c |}{col 14}{res}{space 2}-.2547315{col 26}{space 2} .0195757{col 37}{space 1}  -13.01{col 46}{space 3}0.000{col 54}{space 4}-.2950485{col 67}{space 3}-.2144145
{txt}{space 9}23  {c |}{col 14}{res}{space 2}-.2248732{col 26}{space 2} .0267944{col 37}{space 1}   -8.39{col 46}{space 3}0.000{col 54}{space 4}-.2800572{col 67}{space 3}-.1696892
{txt}{space 9}24  {c |}{col 14}{res}{space 2}  -.22871{col 26}{space 2} .0184532{col 37}{space 1}  -12.39{col 46}{space 3}0.000{col 54}{space 4} -.266715{col 67}{space 3}-.1907049
{txt}{space 9}25  {c |}{col 14}{res}{space 2} -.213732{col 26}{space 2} .0226046{col 37}{space 1}   -9.46{col 46}{space 3}0.000{col 54}{space 4} -.260287{col 67}{space 3} -.167177
{txt}{space 9}26  {c |}{col 14}{res}{space 2}-.0172406{col 26}{space 2} .0103854{col 37}{space 1}   -1.66{col 46}{space 3}0.109{col 54}{space 4}-.0386298{col 67}{space 3} .0041486
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 2.075051{col 26}{space 2} .1988361{col 37}{space 1}   10.44{col 46}{space 3}0.000{col 54}{space 4}  1.66554{col 67}{space 3} 2.484561
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store m1, title(1850)

. 
. reg ENP_cst c.logdis   vv1million    popmillion i.dummies if yr<1875&dummies!=48&dummies!=49, cluster(dummies)

{txt}Linear regression                               Number of obs     = {res}     4,289
                                                {txt}{help j_robustsingular:F(2, 36) }         =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.1314
                                                {txt}Root MSE          =    {res}  .3017

{txt}{ralign 78:(Std. err. adjusted for {res:37} clusters in {res:dummies})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     ENP_cst{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}logdist {c |}{col 14}{res}{space 2} .0092935{col 26}{space 2} .0135295{col 37}{space 1}    0.69{col 46}{space 3}0.497{col 54}{space 4}-.0181456{col 67}{space 3} .0367325
{txt}{space 2}vv1million {c |}{col 14}{res}{space 2} .2762245{col 26}{space 2} .1551086{col 37}{space 1}    1.78{col 46}{space 3}0.083{col 54}{space 4}-.0383502{col 67}{space 3} .5907993
{txt}{space 2}popmillion {c |}{col 14}{res}{space 2} -.043877{col 26}{space 2} .0198647{col 37}{space 1}   -2.21{col 46}{space 3}0.034{col 54}{space 4}-.0841645{col 67}{space 3}-.0035895
{txt}{space 12} {c |}
{space 5}dummies {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0241473{col 26}{space 2} .0424421{col 37}{space 1}    0.57{col 46}{space 3}0.573{col 54}{space 4}-.0619292{col 67}{space 3} .1102239
{txt}{space 10}3  {c |}{col 14}{res}{space 2} -.231211{col 26}{space 2} .0068541{col 37}{space 1}  -33.73{col 46}{space 3}0.000{col 54}{space 4}-.2451118{col 67}{space 3}-.2173102
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.0396036{col 26}{space 2} .0230696{col 37}{space 1}   -1.72{col 46}{space 3}0.095{col 54}{space 4}-.0863909{col 67}{space 3} .0071838
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.1362734{col 26}{space 2} .0130267{col 37}{space 1}  -10.46{col 46}{space 3}0.000{col 54}{space 4}-.1626928{col 67}{space 3} -.109854
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.1245203{col 26}{space 2} .0333841{col 37}{space 1}   -3.73{col 46}{space 3}0.001{col 54}{space 4}-.1922263{col 67}{space 3}-.0568143
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.0216215{col 26}{space 2} .0135095{col 37}{space 1}   -1.60{col 46}{space 3}0.118{col 54}{space 4}-.0490201{col 67}{space 3} .0057771
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .1678657{col 26}{space 2} .0553227{col 37}{space 1}    3.03{col 46}{space 3}0.004{col 54}{space 4}  .055666{col 67}{space 3} .2800654
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.0626826{col 26}{space 2} .0271593{col 37}{space 1}   -2.31{col 46}{space 3}0.027{col 54}{space 4}-.1177641{col 67}{space 3} -.007601
{txt}{space 9}10  {c |}{col 14}{res}{space 2}-.3221889{col 26}{space 2} .0128088{col 37}{space 1}  -25.15{col 46}{space 3}0.000{col 54}{space 4}-.3481664{col 67}{space 3}-.2962115
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.2313131{col 26}{space 2} .0050894{col 37}{space 1}  -45.45{col 46}{space 3}0.000{col 54}{space 4}-.2416348{col 67}{space 3}-.2209913
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.0834454{col 26}{space 2} .0024234{col 37}{space 1}  -34.43{col 46}{space 3}0.000{col 54}{space 4}-.0883602{col 67}{space 3}-.0785305
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{txt}{space 9}16  {c |}{col 14}{res}{space 2} .0207758{col 26}{space 2} .0315302{col 37}{space 1}    0.66{col 46}{space 3}0.514{col 54}{space 4}-.0431704{col 67}{space 3} .0847221
{txt}{space 9}17  {c |}{col 14}{res}{space 2}-.0422208{col 26}{space 2} .0155453{col 37}{space 1}   -2.72{col 46}{space 3}0.010{col 54}{space 4}-.0737481{col 67}{space 3}-.0106936
{txt}{space 9}18  {c |}{col 14}{res}{space 2}-.2631423{col 26}{space 2} .0117702{col 37}{space 1}  -22.36{col 46}{space 3}0.000{col 54}{space 4}-.2870133{col 67}{space 3}-.2392712
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{txt}{space 9}20  {c |}{col 14}{res}{space 2}-.2975653{col 26}{space 2} .0123802{col 37}{space 1}  -24.04{col 46}{space 3}0.000{col 54}{space 4}-.3226735{col 67}{space 3}-.2724572
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{txt}{space 9}26  {c |}{col 14}{res}{space 2}-.0251997{col 26}{space 2} .0092065{col 37}{space 1}   -2.74{col 46}{space 3}0.010{col 54}{space 4}-.0438712{col 67}{space 3}-.0065281
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{txt}{space 9}29  {c |}{col 14}{res}{space 2}   -.4884{col 26}{space 2} .0155409{col 37}{space 1}  -31.43{col 46}{space 3}0.000{col 54}{space 4}-.5199185{col 67}{space 3}-.4568815
{txt}{space 9}30  {c |}{col 14}{res}{space 2}-.0796965{col 26}{space 2}  .012175{col 37}{space 1}   -6.55{col 46}{space 3}0.000{col 54}{space 4}-.1043886{col 67}{space 3}-.0550044
{txt}{space 9}31  {c |}{col 14}{res}{space 2} .0223849{col 26}{space 2} .0283225{col 37}{space 1}    0.79{col 46}{space 3}0.434{col 54}{space 4}-.0350559{col 67}{space 3} .0798256
{txt}{space 9}32  {c |}{col 14}{res}{space 2}-.0730016{col 26}{space 2} .0110786{col 37}{space 1}   -6.59{col 46}{space 3}0.000{col 54}{space 4}-.0954701{col 67}{space 3}-.0505331
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{txt}{space 9}35  {c |}{col 14}{res}{space 2}-.0846465{col 26}{space 2} .0208238{col 37}{space 1}   -4.06{col 46}{space 3}0.000{col 54}{space 4}-.1268791{col 67}{space 3}-.0424138
{txt}{space 9}36  {c |}{col 14}{res}{space 2}-.0856579{col 26}{space 2} .0145547{col 37}{space 1}   -5.89{col 46}{space 3}0.000{col 54}{space 4}-.1151762{col 67}{space 3}-.0561397
{txt}{space 9}50  {c |}{col 14}{res}{space 2}-.3299637{col 26}{space 2} .0109464{col 37}{space 1}  -30.14{col 46}{space 3}0.000{col 54}{space 4} -.352164{col 67}{space 3}-.3077634
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 2.002419{col 26}{space 2} .0910168{col 37}{space 1}   22.00{col 46}{space 3}0.000{col 54}{space 4} 1.817829{col 67}{space 3}  2.18701
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store m2, title(1875)

. 
. reg ENP_cst c.logdis   vv1million    popmillion i.dummies if yr<1900&dummies!=48&dummies!=49, cluster(dummies)

{txt}Linear regression                               Number of obs     = {res}     8,188
                                                {txt}{help j_robustsingular:F(2, 43) }         =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.1541
                                                {txt}Root MSE          =    {res} .30232

{txt}{ralign 78:(Std. err. adjusted for {res:44} clusters in {res:dummies})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     ENP_cst{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}logdist {c |}{col 14}{res}{space 2} .0357215{col 26}{space 2}  .009813{col 37}{space 1}    3.64{col 46}{space 3}0.001{col 54}{space 4} .0159317{col 67}{space 3} .0555114
{txt}{space 2}vv1million {c |}{col 14}{res}{space 2} .1719325{col 26}{space 2} .1090058{col 37}{space 1}    1.58{col 46}{space 3}0.122{col 54}{space 4}-.0478988{col 67}{space 3} .3917637
{txt}{space 2}popmillion {c |}{col 14}{res}{space 2} .0147917{col 26}{space 2} .0195193{col 37}{space 1}    0.76{col 46}{space 3}0.453{col 54}{space 4}-.0245727{col 67}{space 3} .0541561
{txt}{space 12} {c |}
{space 5}dummies {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0646929{col 26}{space 2} .0561732{col 37}{space 1}   -1.15{col 46}{space 3}0.256{col 54}{space 4}-.1779771{col 67}{space 3} .0485912
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.4619656{col 26}{space 2} .0111123{col 37}{space 1}  -41.57{col 46}{space 3}0.000{col 54}{space 4}-.4843758{col 67}{space 3}-.4395555
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0214596{col 26}{space 2}  .017162{col 37}{space 1}    1.25{col 46}{space 3}0.218{col 54}{space 4}-.0131508{col 67}{space 3}   .05607
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.3059123{col 26}{space 2} .0199299{col 37}{space 1}  -15.35{col 46}{space 3}0.000{col 54}{space 4}-.3461048{col 67}{space 3}-.2657198
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.0225516{col 26}{space 2} .0218731{col 37}{space 1}   -1.03{col 46}{space 3}0.308{col 54}{space 4}-.0666629{col 67}{space 3} .0215598
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .0485328{col 26}{space 2}  .012704{col 37}{space 1}    3.82{col 46}{space 3}0.000{col 54}{space 4} .0229127{col 67}{space 3} .0741528
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.0175769{col 26}{space 2} .0691786{col 37}{space 1}   -0.25{col 46}{space 3}0.801{col 54}{space 4}-.1570888{col 67}{space 3}  .121935
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.0788754{col 26}{space 2} .0206541{col 37}{space 1}   -3.82{col 46}{space 3}0.000{col 54}{space 4}-.1205284{col 67}{space 3}-.0372225
{txt}{space 9}10  {c |}{col 14}{res}{space 2} -.220661{col 26}{space 2} .0137961{col 37}{space 1}  -15.99{col 46}{space 3}0.000{col 54}{space 4}-.2484834{col 67}{space 3}-.1928385
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.1583101{col 26}{space 2} .0034885{col 37}{space 1}  -45.38{col 46}{space 3}0.000{col 54}{space 4}-.1653454{col 67}{space 3}-.1512748
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.1518967{col 26}{space 2} .0013859{col 37}{space 1} -109.60{col 46}{space 3}0.000{col 54}{space 4}-.1546917{col 67}{space 3}-.1491017
{txt}{space 9}13  {c |}{col 14}{res}{space 2} .0022376{col 26}{space 2} .0039352{col 37}{space 1}    0.57{col 46}{space 3}0.573{col 54}{space 4}-.0056985{col 67}{space 3} .0101738
{txt}{space 9}14  {c |}{col 14}{res}{space 2}-.2210369{col 26}{space 2} .0183648{col 37}{space 1}  -12.04{col 46}{space 3}0.000{col 54}{space 4}-.2580731{col 67}{space 3}-.1840008
{txt}{space 9}15  {c |}{col 14}{res}{space 2} -.176489{col 26}{space 2} .0190374{col 37}{space 1}   -9.27{col 46}{space 3}0.000{col 54}{space 4}-.2148816{col 67}{space 3}-.1380963
{txt}{space 9}16  {c |}{col 14}{res}{space 2}-.0437687{col 26}{space 2} .0400601{col 37}{space 1}   -1.09{col 46}{space 3}0.281{col 54}{space 4}-.1245576{col 67}{space 3} .0370203
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{txt}{space 9}18  {c |}{col 14}{res}{space 2}-.4089384{col 26}{space 2} .0165554{col 37}{space 1}  -24.70{col 46}{space 3}0.000{col 54}{space 4}-.4423255{col 67}{space 3}-.3755512
{txt}{space 9}19  {c |}{col 14}{res}{space 2}-.0588458{col 26}{space 2} .0436922{col 37}{space 1}   -1.35{col 46}{space 3}0.185{col 54}{space 4}-.1469596{col 67}{space 3}  .029268
{txt}{space 9}20  {c |}{col 14}{res}{space 2}-.3337381{col 26}{space 2} .0163639{col 37}{space 1}  -20.39{col 46}{space 3}0.000{col 54}{space 4} -.366739{col 67}{space 3}-.3007372
{txt}{space 9}21  {c |}{col 14}{res}{space 2} .0124991{col 26}{space 2} .0064283{col 37}{space 1}    1.94{col 46}{space 3}0.058{col 54}{space 4}-.0004648{col 67}{space 3} .0254629
{txt}{space 9}22  {c |}{col 14}{res}{space 2}-.0070528{col 26}{space 2} .0319462{col 37}{space 1}   -0.22{col 46}{space 3}0.826{col 54}{space 4}-.0714785{col 67}{space 3}  .057373
{txt}{space 9}23  {c |}{col 14}{res}{space 2}-.3182004{col 26}{space 2} .0148031{col 37}{space 1}  -21.50{col 46}{space 3}0.000{col 54}{space 4}-.3480536{col 67}{space 3}-.2883472
{txt}{space 9}24  {c |}{col 14}{res}{space 2}-.0446489{col 26}{space 2}   .01984{col 37}{space 1}   -2.25{col 46}{space 3}0.030{col 54}{space 4}  -.08466{col 67}{space 3}-.0046377
{txt}{space 9}25  {c |}{col 14}{res}{space 2}-.3394839{col 26}{space 2} .0127082{col 37}{space 1}  -26.71{col 46}{space 3}0.000{col 54}{space 4}-.3651124{col 67}{space 3}-.3138553
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{txt}{space 9}27  {c |}{col 14}{res}{space 2}-.2134986{col 26}{space 2} .0059056{col 37}{space 1}  -36.15{col 46}{space 3}0.000{col 54}{space 4}-.2254084{col 67}{space 3}-.2015888
{txt}{space 9}28  {c |}{col 14}{res}{space 2}-.0681444{col 26}{space 2} .0244133{col 37}{space 1}   -2.79{col 46}{space 3}0.008{col 54}{space 4}-.1173785{col 67}{space 3}-.0189103
{txt}{space 9}29  {c |}{col 14}{res}{space 2}-.3327572{col 26}{space 2} .0287079{col 37}{space 1}  -11.59{col 46}{space 3}0.000{col 54}{space 4}-.3906522{col 67}{space 3}-.2748621
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{txt}{space 9}31  {c |}{col 14}{res}{space 2} .1027046{col 26}{space 2} .0215614{col 37}{space 1}    4.76{col 46}{space 3}0.000{col 54}{space 4} .0592219{col 67}{space 3} .1461872
{txt}{space 9}32  {c |}{col 14}{res}{space 2} .0634256{col 26}{space 2} .0148908{col 37}{space 1}    4.26{col 46}{space 3}0.000{col 54}{space 4} .0333954{col 67}{space 3} .0934559
{txt}{space 9}33  {c |}{col 14}{res}{space 2}  .208448{col 26}{space 2} .0152698{col 37}{space 1}   13.65{col 46}{space 3}0.000{col 54}{space 4} .1776534{col 67}{space 3} .2392426
{txt}{space 9}34  {c |}{col 14}{res}{space 2} .0071841{col 26}{space 2} .0201139{col 37}{space 1}    0.36{col 46}{space 3}0.723{col 54}{space 4}-.0333794{col 67}{space 3} .0477476
{txt}{space 9}35  {c |}{col 14}{res}{space 2}-.1364319{col 26}{space 2} .0154385{col 37}{space 1}   -8.84{col 46}{space 3}0.000{col 54}{space 4}-.1675665{col 67}{space 3}-.1052972
{txt}{space 9}36  {c |}{col 14}{res}{space 2} .1540414{col 26}{space 2} .0148645{col 37}{space 1}   10.36{col 46}{space 3}0.000{col 54}{space 4} .1240644{col 67}{space 3} .1840184
{txt}{space 9}37  {c |}{col 14}{res}{space 2}-.1886195{col 26}{space 2} .0112261{col 37}{space 1}  -16.80{col 46}{space 3}0.000{col 54}{space 4}-.2112591{col 67}{space 3}-.1659799
{txt}{space 9}38  {c |}{col 14}{res}{space 2} .2589302{col 26}{space 2} .0122237{col 37}{space 1}   21.18{col 46}{space 3}0.000{col 54}{space 4} .2342788{col 67}{space 3} .2835817
{txt}{space 9}40  {c |}{col 14}{res}{space 2} .0184192{col 26}{space 2} .0127199{col 37}{space 1}    1.45{col 46}{space 3}0.155{col 54}{space 4}-.0072329{col 67}{space 3} .0440712
{txt}{space 9}41  {c |}{col 14}{res}{space 2} .5482502{col 26}{space 2} .0141757{col 37}{space 1}   38.68{col 46}{space 3}0.000{col 54}{space 4} .5196622{col 67}{space 3} .5768382
{txt}{space 9}42  {c |}{col 14}{res}{space 2} .0031764{col 26}{space 2} .0098562{col 37}{space 1}    0.32{col 46}{space 3}0.749{col 54}{space 4}-.0167006{col 67}{space 3} .0230533
{txt}{space 9}43  {c |}{col 14}{res}{space 2} .5310453{col 26}{space 2} .0126637{col 37}{space 1}   41.93{col 46}{space 3}0.000{col 54}{space 4} .5055066{col 67}{space 3}  .556584
{txt}{space 9}50  {c |}{col 14}{res}{space 2}-.0285937{col 26}{space 2} .0077974{col 37}{space 1}   -3.67{col 46}{space 3}0.001{col 54}{space 4}-.0443186{col 67}{space 3}-.0128688
{txt}{space 9}51  {c |}{col 14}{res}{space 2} .5175553{col 26}{space 2} .0704139{col 37}{space 1}    7.35{col 46}{space 3}0.000{col 54}{space 4} .3755522{col 67}{space 3} .6595584
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 1.818493{col 26}{space 2} .0653162{col 37}{space 1}   27.84{col 46}{space 3}0.000{col 54}{space 4}  1.68677{col 67}{space 3} 1.950216
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store m3, title(1900)

. 
. reg ENP_cst c.logdis   vv1million   popmillion i.dummies if yr<1925&dummies!=48&dummies!=49, cluster(dummies)

{txt}Linear regression                               Number of obs     = {res}    13,159
                                                {txt}{help j_robustsingular:F(2, 48) }         =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.2270
                                                {txt}Root MSE          =    {res} .34457

{txt}{ralign 78:(Std. err. adjusted for {res:49} clusters in {res:dummies})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     ENP_cst{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}logdist {c |}{col 14}{res}{space 2} .0360228{col 26}{space 2} .0162466{col 37}{space 1}    2.22{col 46}{space 3}0.031{col 54}{space 4} .0033567{col 67}{space 3} .0686888
{txt}{space 2}vv1million {c |}{col 14}{res}{space 2} .1015821{col 26}{space 2} .0400645{col 37}{space 1}    2.54{col 46}{space 3}0.015{col 54}{space 4} .0210272{col 67}{space 3} .1821371
{txt}{space 2}popmillion {c |}{col 14}{res}{space 2} .0112285{col 26}{space 2} .0103609{col 37}{space 1}    1.08{col 46}{space 3}0.284{col 54}{space 4}-.0096035{col 67}{space 3} .0320604
{txt}{space 12} {c |}
{space 5}dummies {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0094968{col 26}{space 2} .0427288{col 37}{space 1}    0.22{col 46}{space 3}0.825{col 54}{space 4}-.0764152{col 67}{space 3} .0954088
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.6291221{col 26}{space 2}  .008001{col 37}{space 1}  -78.63{col 46}{space 3}0.000{col 54}{space 4}-.6452092{col 67}{space 3}-.6130351
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0775747{col 26}{space 2} .0266808{col 37}{space 1}    2.91{col 46}{space 3}0.006{col 54}{space 4} .0239293{col 67}{space 3}   .13122
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.4225753{col 26}{space 2} .0148571{col 37}{space 1}  -28.44{col 46}{space 3}0.000{col 54}{space 4}-.4524475{col 67}{space 3}-.3927031
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .0243983{col 26}{space 2} .0378471{col 37}{space 1}    0.64{col 46}{space 3}0.522{col 54}{space 4}-.0516983{col 67}{space 3} .1004949
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .0715317{col 26}{space 2} .0171476{col 37}{space 1}    4.17{col 46}{space 3}0.000{col 54}{space 4} .0370541{col 67}{space 3} .1060094
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .0220632{col 26}{space 2} .0514466{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4}-.0813771{col 67}{space 3} .1255034
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.1781007{col 26}{space 2} .0242352{col 37}{space 1}   -7.35{col 46}{space 3}0.000{col 54}{space 4}-.2268289{col 67}{space 3}-.1293725
{txt}{space 9}10  {c |}{col 14}{res}{space 2}-.2279135{col 26}{space 2} .0117873{col 37}{space 1}  -19.34{col 46}{space 3}0.000{col 54}{space 4}-.2516134{col 67}{space 3}-.2042136
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.0888263{col 26}{space 2} .0033336{col 37}{space 1}  -26.65{col 46}{space 3}0.000{col 54}{space 4} -.095529{col 67}{space 3}-.0821236
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.1720538{col 26}{space 2} .0020129{col 37}{space 1}  -85.48{col 46}{space 3}0.000{col 54}{space 4} -.176101{col 67}{space 3}-.1680066
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{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 1.812572{col 26}{space 2} .1070465{col 37}{space 1}   16.93{col 46}{space 3}0.000{col 54}{space 4}  1.59734{col 67}{space 3} 2.027803
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store m4, title(1925)

. 
. reg ENP_cst c.logdis   vv1million    popmillion i.dummies if yr<1950&dummies!=48&dummies!=49, cluster(dummies)

{txt}Linear regression                               Number of obs     = {res}    17,740
                                                {txt}{help j_robustsingular:F(2, 48) }         =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.2400
                                                {txt}Root MSE          =    {res} .34281

{txt}{ralign 78:(Std. err. adjusted for {res:49} clusters in {res:dummies})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     ENP_cst{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}logdist {c |}{col 14}{res}{space 2} .0286313{col 26}{space 2} .0191869{col 37}{space 1}    1.49{col 46}{space 3}0.142{col 54}{space 4}-.0099467{col 67}{space 3} .0672092
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{txt}{space 12} {c |}
{space 5}dummies {c |}
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{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 1.854646{col 26}{space 2} .1240594{col 37}{space 1}   14.95{col 46}{space 3}0.000{col 54}{space 4} 1.605208{col 67}{space 3} 2.104084
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store m5, title(1950)

. 
. reg ENP_cst c.logdis   vv1million   popmillion i.dummies if yr<1975&dummies!=48&dummies!=49, cluster(dummies)

{txt}Linear regression                               Number of obs     = {res}    22,830
                                                {txt}{help j_robustsingular:F(2, 48) }         =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.2377
                                                {txt}Root MSE          =    {res} .32946

{txt}{ralign 78:(Std. err. adjusted for {res:49} clusters in {res:dummies})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     ENP_cst{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}logdist {c |}{col 14}{res}{space 2}  .018887{col 26}{space 2} .0191642{col 37}{space 1}    0.99{col 46}{space 3}0.329{col 54}{space 4}-.0196451{col 67}{space 3} .0574192
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{space 5}dummies {c |}
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{space 7}_cons {c |}{col 14}{res}{space 2} 1.892608{col 26}{space 2} .1239536{col 37}{space 1}   15.27{col 46}{space 3}0.000{col 54}{space 4} 1.643382{col 67}{space 3} 2.141833
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store m6, title(1975)

. 
. reg ENP_cst c.logdis   vv1million   popmillion i.dummies if yr<2000&dummies!=48&dummies!=49, cluster(dummies)

{txt}Linear regression                               Number of obs     = {res}    27,759
                                                {txt}{help j_robustsingular:F(2, 48) }         =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.2021
                                                {txt}Root MSE          =    {res} .33269

{txt}{ralign 78:(Std. err. adjusted for {res:49} clusters in {res:dummies})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     ENP_cst{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}logdist {c |}{col 14}{res}{space 2} .0113875{col 26}{space 2} .0192915{col 37}{space 1}    0.59{col 46}{space 3}0.558{col 54}{space 4}-.0274007{col 67}{space 3} .0501757
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{txt}{space 12} {c |}
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{txt}{space 9}42  {c |}{col 14}{res}{space 2}-.0957258{col 26}{space 2} .0208536{col 37}{space 1}   -4.59{col 46}{space 3}0.000{col 54}{space 4}-.1376549{col 67}{space 3}-.0537967
{txt}{space 9}43  {c |}{col 14}{res}{space 2} .0029223{col 26}{space 2} .0192321{col 37}{space 1}    0.15{col 46}{space 3}0.880{col 54}{space 4}-.0357465{col 67}{space 3} .0415911
{txt}{space 9}44  {c |}{col 14}{res}{space 2} .0022257{col 26}{space 2} .0272384{col 37}{space 1}    0.08{col 46}{space 3}0.935{col 54}{space 4}-.0525408{col 67}{space 3} .0569923
{txt}{space 9}45  {c |}{col 14}{res}{space 2}-.1060311{col 26}{space 2} .0167738{col 37}{space 1}   -6.32{col 46}{space 3}0.000{col 54}{space 4}-.1397572{col 67}{space 3} -.072305
{txt}{space 9}46  {c |}{col 14}{res}{space 2}-.0938717{col 26}{space 2} .0246472{col 37}{space 1}   -3.81{col 46}{space 3}0.000{col 54}{space 4}-.1434283{col 67}{space 3}-.0443151
{txt}{space 9}47  {c |}{col 14}{res}{space 2}-.1521294{col 26}{space 2} .0264011{col 37}{space 1}   -5.76{col 46}{space 3}0.000{col 54}{space 4}-.2052123{col 67}{space 3}-.0990466
{txt}{space 9}50  {c |}{col 14}{res}{space 2}-.0154122{col 26}{space 2} .0164343{col 37}{space 1}   -0.94{col 46}{space 3}0.353{col 54}{space 4}-.0484555{col 67}{space 3} .0176311
{txt}{space 9}51  {c |}{col 14}{res}{space 2}  .383265{col 26}{space 2} .1272048{col 37}{space 1}    3.01{col 46}{space 3}0.004{col 54}{space 4} .1275025{col 67}{space 3} .6390275
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 1.928243{col 26}{space 2} .1251629{col 37}{space 1}   15.41{col 46}{space 3}0.000{col 54}{space 4} 1.676586{col 67}{space 3}   2.1799
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store m7, title(2000)

. 
. reg ENP_cst c.logdis   vv1million   popmillion i.dummies if yr<2020&dummies!=48&dummies!=49, cluster(dummies)

{txt}Linear regression                               Number of obs     = {res}    31,574
                                                {txt}{help j_robustsingular:F(2, 48) }         =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.1924
                                                {txt}Root MSE          =    {res} .33156

{txt}{ralign 78:(Std. err. adjusted for {res:49} clusters in {res:dummies})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     ENP_cst{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}logdist {c |}{col 14}{res}{space 2} .0162129{col 26}{space 2} .0210565{col 37}{space 1}    0.77{col 46}{space 3}0.445{col 54}{space 4}-.0261241{col 67}{space 3} .0585499
{txt}{space 2}vv1million {c |}{col 14}{res}{space 2} .0234375{col 26}{space 2} .0140727{col 37}{space 1}    1.67{col 46}{space 3}0.102{col 54}{space 4}-.0048576{col 67}{space 3} .0517325
{txt}{space 2}popmillion {c |}{col 14}{res}{space 2} -.003187{col 26}{space 2} .0037972{col 37}{space 1}   -0.84{col 46}{space 3}0.405{col 54}{space 4}-.0108218{col 67}{space 3} .0044479
{txt}{space 12} {c |}
{space 5}dummies {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0003474{col 26}{space 2} .0407068{col 37}{space 1}   -0.01{col 46}{space 3}0.993{col 54}{space 4} -.082194{col 67}{space 3} .0814991
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.5256148{col 26}{space 2} .0061543{col 37}{space 1}  -85.41{col 46}{space 3}0.000{col 54}{space 4}-.5379889{col 67}{space 3}-.5132406
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0339587{col 26}{space 2} .0336228{col 37}{space 1}    1.01{col 46}{space 3}0.318{col 54}{space 4}-.0336444{col 67}{space 3} .1015618
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.4292954{col 26}{space 2} .0127902{col 37}{space 1}  -33.56{col 46}{space 3}0.000{col 54}{space 4}-.4550119{col 67}{space 3}-.4035789
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.0746569{col 26}{space 2} .0534017{col 37}{space 1}   -1.40{col 46}{space 3}0.169{col 54}{space 4}-.1820283{col 67}{space 3} .0327144
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.0228044{col 26}{space 2} .0288469{col 37}{space 1}   -0.79{col 46}{space 3}0.433{col 54}{space 4} -.080805{col 67}{space 3} .0351962
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .1766623{col 26}{space 2} .0439495{col 37}{space 1}    4.02{col 46}{space 3}0.000{col 54}{space 4}  .088296{col 67}{space 3} .2650286
{txt}{space 10}9  {c |}{col 14}{res}{space 2} -.235527{col 26}{space 2} .0371583{col 37}{space 1}   -6.34{col 46}{space 3}0.000{col 54}{space 4}-.3102388{col 67}{space 3}-.1608151
{txt}{space 9}10  {c |}{col 14}{res}{space 2}-.1827456{col 26}{space 2} .0174598{col 37}{space 1}  -10.47{col 46}{space 3}0.000{col 54}{space 4}-.2178509{col 67}{space 3}-.1476403
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.0739882{col 26}{space 2} .0045509{col 37}{space 1}  -16.26{col 46}{space 3}0.000{col 54}{space 4}-.0831383{col 67}{space 3} -.064838
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.1317728{col 26}{space 2} .0023658{col 37}{space 1}  -55.70{col 46}{space 3}0.000{col 54}{space 4}-.1365295{col 67}{space 3}-.1270161
{txt}{space 9}13  {c |}{col 14}{res}{space 2} .0483273{col 26}{space 2} .0113761{col 37}{space 1}    4.25{col 46}{space 3}0.000{col 54}{space 4}  .025454{col 67}{space 3} .0712006
{txt}{space 9}14  {c |}{col 14}{res}{space 2}-.2903458{col 26}{space 2} .0082647{col 37}{space 1}  -35.13{col 46}{space 3}0.000{col 54}{space 4} -.306963{col 67}{space 3}-.2737286
{txt}{space 9}15  {c |}{col 14}{res}{space 2}-.1225633{col 26}{space 2} .0064956{col 37}{space 1}  -18.87{col 46}{space 3}0.000{col 54}{space 4}-.1356235{col 67}{space 3} -.109503
{txt}{space 9}16  {c |}{col 14}{res}{space 2}-.0252815{col 26}{space 2} .0241472{col 37}{space 1}   -1.05{col 46}{space 3}0.300{col 54}{space 4}-.0738327{col 67}{space 3} .0232696
{txt}{space 9}17  {c |}{col 14}{res}{space 2} .0288675{col 26}{space 2} .0096647{col 37}{space 1}    2.99{col 46}{space 3}0.004{col 54}{space 4} .0094353{col 67}{space 3} .0482998
{txt}{space 9}18  {c |}{col 14}{res}{space 2}-.4338982{col 26}{space 2} .0134564{col 37}{space 1}  -32.24{col 46}{space 3}0.000{col 54}{space 4} -.460954{col 67}{space 3}-.4068424
{txt}{space 9}19  {c |}{col 14}{res}{space 2} -.063493{col 26}{space 2} .0250894{col 37}{space 1}   -2.53{col 46}{space 3}0.015{col 54}{space 4}-.1139386{col 67}{space 3}-.0130473
{txt}{space 9}20  {c |}{col 14}{res}{space 2}-.4018158{col 26}{space 2} .0102736{col 37}{space 1}  -39.11{col 46}{space 3}0.000{col 54}{space 4}-.4224723{col 67}{space 3}-.3811594
{txt}{space 9}21  {c |}{col 14}{res}{space 2} .0053301{col 26}{space 2} .0051117{col 37}{space 1}    1.04{col 46}{space 3}0.302{col 54}{space 4}-.0049477{col 67}{space 3} .0156079
{txt}{space 9}22  {c |}{col 14}{res}{space 2}-.0239392{col 26}{space 2} .0144689{col 37}{space 1}   -1.65{col 46}{space 3}0.105{col 54}{space 4}-.0530309{col 67}{space 3} .0051525
{txt}{space 9}23  {c |}{col 14}{res}{space 2}-.4617037{col 26}{space 2} .0173274{col 37}{space 1}  -26.65{col 46}{space 3}0.000{col 54}{space 4}-.4965427{col 67}{space 3}-.4268648
{txt}{space 9}24  {c |}{col 14}{res}{space 2} -.132135{col 26}{space 2} .0126479{col 37}{space 1}  -10.45{col 46}{space 3}0.000{col 54}{space 4}-.1575654{col 67}{space 3}-.1067047
{txt}{space 9}25  {c |}{col 14}{res}{space 2}-.3359263{col 26}{space 2} .0152037{col 37}{space 1}  -22.09{col 46}{space 3}0.000{col 54}{space 4}-.3664954{col 67}{space 3}-.3053571
{txt}{space 9}26  {c |}{col 14}{res}{space 2} -.092092{col 26}{space 2} .0198517{col 37}{space 1}   -4.64{col 46}{space 3}0.000{col 54}{space 4}-.1320064{col 67}{space 3}-.0521775
{txt}{space 9}27  {c |}{col 14}{res}{space 2}-.2719364{col 26}{space 2} .0359737{col 37}{space 1}   -7.56{col 46}{space 3}0.000{col 54}{space 4}-.3442663{col 67}{space 3}-.1996065
{txt}{space 9}28  {c |}{col 14}{res}{space 2} -.048322{col 26}{space 2} .0146607{col 37}{space 1}   -3.30{col 46}{space 3}0.002{col 54}{space 4}-.0777993{col 67}{space 3}-.0188447
{txt}{space 9}29  {c |}{col 14}{res}{space 2}-.4298394{col 26}{space 2} .0412954{col 37}{space 1}  -10.41{col 46}{space 3}0.000{col 54}{space 4}-.5128693{col 67}{space 3}-.3468095
{txt}{space 9}30  {c |}{col 14}{res}{space 2}-.0407414{col 26}{space 2} .0121919{col 37}{space 1}   -3.34{col 46}{space 3}0.002{col 54}{space 4}-.0652548{col 67}{space 3}-.0162279
{txt}{space 9}31  {c |}{col 14}{res}{space 2}-.1525023{col 26}{space 2} .0754047{col 37}{space 1}   -2.02{col 46}{space 3}0.049{col 54}{space 4}-.3041136{col 67}{space 3}-.0008911
{txt}{space 9}32  {c |}{col 14}{res}{space 2} .0228397{col 26}{space 2}  .016879{col 37}{space 1}    1.35{col 46}{space 3}0.182{col 54}{space 4}-.0110977{col 67}{space 3} .0567771
{txt}{space 9}33  {c |}{col 14}{res}{space 2}-.0453868{col 26}{space 2} .0342457{col 37}{space 1}   -1.33{col 46}{space 3}0.191{col 54}{space 4}-.1142424{col 67}{space 3} .0234688
{txt}{space 9}34  {c |}{col 14}{res}{space 2}-.0240332{col 26}{space 2} .0188099{col 37}{space 1}   -1.28{col 46}{space 3}0.208{col 54}{space 4} -.061853{col 67}{space 3} .0137866
{txt}{space 9}35  {c |}{col 14}{res}{space 2} .0175452{col 26}{space 2} .0329194{col 37}{space 1}    0.53{col 46}{space 3}0.597{col 54}{space 4}-.0486438{col 67}{space 3} .0837342
{txt}{space 9}36  {c |}{col 14}{res}{space 2}-.0314906{col 26}{space 2} .0195289{col 37}{space 1}   -1.61{col 46}{space 3}0.113{col 54}{space 4}-.0707561{col 67}{space 3} .0077749
{txt}{space 9}37  {c |}{col 14}{res}{space 2}-.0467007{col 26}{space 2} .0252873{col 37}{space 1}   -1.85{col 46}{space 3}0.071{col 54}{space 4}-.0975442{col 67}{space 3} .0041428
{txt}{space 9}38  {c |}{col 14}{res}{space 2} .0098343{col 26}{space 2} .0294635{col 37}{space 1}    0.33{col 46}{space 3}0.740{col 54}{space 4} -.049406{col 67}{space 3} .0690746
{txt}{space 9}39  {c |}{col 14}{res}{space 2}-.1039574{col 26}{space 2} .0337694{col 37}{space 1}   -3.08{col 46}{space 3}0.003{col 54}{space 4}-.1718553{col 67}{space 3}-.0360595
{txt}{space 9}40  {c |}{col 14}{res}{space 2}-.0436871{col 26}{space 2} .0279392{col 37}{space 1}   -1.56{col 46}{space 3}0.124{col 54}{space 4}-.0998626{col 67}{space 3} .0124884
{txt}{space 9}41  {c |}{col 14}{res}{space 2}-.0118967{col 26}{space 2} .0316217{col 37}{space 1}   -0.38{col 46}{space 3}0.708{col 54}{space 4}-.0754764{col 67}{space 3}  .051683
{txt}{space 9}42  {c |}{col 14}{res}{space 2}-.1042267{col 26}{space 2} .0226411{col 37}{space 1}   -4.60{col 46}{space 3}0.000{col 54}{space 4}-.1497497{col 67}{space 3}-.0587037
{txt}{space 9}43  {c |}{col 14}{res}{space 2}-.0212151{col 26}{space 2} .0210787{col 37}{space 1}   -1.01{col 46}{space 3}0.319{col 54}{space 4}-.0635967{col 67}{space 3} .0211665
{txt}{space 9}44  {c |}{col 14}{res}{space 2}-.0286165{col 26}{space 2}  .029796{col 37}{space 1}   -0.96{col 46}{space 3}0.342{col 54}{space 4}-.0885254{col 67}{space 3} .0312925
{txt}{space 9}45  {c |}{col 14}{res}{space 2}-.1356429{col 26}{space 2} .0197403{col 37}{space 1}   -6.87{col 46}{space 3}0.000{col 54}{space 4}-.1753333{col 67}{space 3}-.0959524
{txt}{space 9}46  {c |}{col 14}{res}{space 2}-.1057254{col 26}{space 2} .0270988{col 37}{space 1}   -3.90{col 46}{space 3}0.000{col 54}{space 4}-.1602112{col 67}{space 3}-.0512396
{txt}{space 9}47  {c |}{col 14}{res}{space 2}-.1378819{col 26}{space 2} .0306116{col 37}{space 1}   -4.50{col 46}{space 3}0.000{col 54}{space 4}-.1994307{col 67}{space 3}-.0763331
{txt}{space 9}50  {c |}{col 14}{res}{space 2}-.0386867{col 26}{space 2}  .016557{col 37}{space 1}   -2.34{col 46}{space 3}0.024{col 54}{space 4}-.0719767{col 67}{space 3}-.0053967
{txt}{space 9}51  {c |}{col 14}{res}{space 2} .4032476{col 26}{space 2} .1391203{col 37}{space 1}    2.90{col 46}{space 3}0.006{col 54}{space 4} .1235275{col 67}{space 3} .6829676
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 1.903587{col 26}{space 2} .1369751{col 37}{space 1}   13.90{col 46}{space 3}0.000{col 54}{space 4}  1.62818{col 67}{space 3} 2.178994
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store m8, title(2016)

. 
. estout m1 m2 m3 m4 m5 m6 m7 m8 using TableA1_The_Effect_of_Distance_on_the_Number_of_Parties_with_Entire_US.text, cells(b(star fmt(4)) se(par fmt(5)))legend label stats(r2) varlabels(_cons Constant)
{res}{txt}(output written to {browse  `"TableA1_The_Effect_of_Distance_on_the_Number_of_Parties_with_Entire_US.text"'})

{com}. 
. 
. 
. *Table A2

. 
. reg ENP_cst c.logdis   vv1million   popmillion i.dummies if south==0&yr<1850&dummies!=48&dummies!=49, cluster(dummies)

{txt}Linear regression                               Number of obs     = {res}     1,038
                                                {txt}{help j_robustsingular:F(2, 16) }         =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.1413
                                                {txt}Root MSE          =    {res} .28037

{txt}{ralign 78:(Std. err. adjusted for {res:17} clusters in {res:dummies})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     ENP_cst{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}logdist {c |}{col 14}{res}{space 2}-.0397625{col 26}{space 2} .0320943{col 37}{space 1}   -1.24{col 46}{space 3}0.233{col 54}{space 4}-.1077994{col 67}{space 3} .0282745
{txt}{space 2}vv1million {c |}{col 14}{res}{space 2}  .554548{col 26}{space 2} .4089332{col 37}{space 1}    1.36{col 46}{space 3}0.194{col 54}{space 4}-.3123516{col 67}{space 3} 1.421448
{txt}{space 2}popmillion {c |}{col 14}{res}{space 2} .2521576{col 26}{space 2} .0394377{col 37}{space 1}    6.39{col 46}{space 3}0.000{col 54}{space 4} .1685534{col 67}{space 3} .3357619
{txt}{space 12} {c |}
{space 5}dummies {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.6440482{col 26}{space 2} .0672694{col 37}{space 1}   -9.57{col 46}{space 3}0.000{col 54}{space 4} -.786653{col 67}{space 3}-.5014434
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.2672836{col 26}{space 2} .0512792{col 37}{space 1}   -5.21{col 46}{space 3}0.000{col 54}{space 4}-.3759906{col 67}{space 3}-.1585766
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.4773527{col 26}{space 2} .0807712{col 37}{space 1}   -5.91{col 46}{space 3}0.000{col 54}{space 4}-.6485799{col 67}{space 3}-.3061254
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.3705396{col 26}{space 2} .0383958{col 37}{space 1}   -9.65{col 46}{space 3}0.000{col 54}{space 4} -.451935{col 67}{space 3}-.2891441
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.6534935{col 26}{space 2} .0825299{col 37}{space 1}   -7.92{col 46}{space 3}0.000{col 54}{space 4}-.8284492{col 67}{space 3}-.4785378
{txt}{space 9}11  {c |}{col 14}{res}{space 2} -.384466{col 26}{space 2} .0135825{col 37}{space 1}  -28.31{col 46}{space 3}0.000{col 54}{space 4}-.4132597{col 67}{space 3}-.3556723
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.0811999{col 26}{space 2}  .010247{col 37}{space 1}   -7.92{col 46}{space 3}0.000{col 54}{space 4}-.1029226{col 67}{space 3}-.0594772
{txt}{space 9}13  {c |}{col 14}{res}{space 2}  -.22417{col 26}{space 2} .0148386{col 37}{space 1}  -15.11{col 46}{space 3}0.000{col 54}{space 4}-.2556265{col 67}{space 3}-.1927136
{txt}{space 9}15  {c |}{col 14}{res}{space 2}-.5369448{col 26}{space 2}  .021819{col 37}{space 1}  -24.61{col 46}{space 3}0.000{col 54}{space 4} -.583199{col 67}{space 3}-.4906907
{txt}{space 9}16  {c |}{col 14}{res}{space 2}-.5236195{col 26}{space 2} .0446291{col 37}{space 1}  -11.73{col 46}{space 3}0.000{col 54}{space 4}-.6182288{col 67}{space 3}-.4290101
{txt}{space 9}17  {c |}{col 14}{res}{space 2}-.3514458{col 26}{space 2} .0151354{col 37}{space 1}  -23.22{col 46}{space 3}0.000{col 54}{space 4}-.3835314{col 67}{space 3}-.3193601
{txt}{space 9}19  {c |}{col 14}{res}{space 2}-.3620503{col 26}{space 2} .0138969{col 37}{space 1}  -26.05{col 46}{space 3}0.000{col 54}{space 4}-.3915104{col 67}{space 3}-.3325902
{txt}{space 9}21  {c |}{col 14}{res}{space 2}-.0671821{col 26}{space 2} .0141698{col 37}{space 1}   -4.74{col 46}{space 3}0.000{col 54}{space 4}-.0972208{col 67}{space 3}-.0371434
{txt}{space 9}22  {c |}{col 14}{res}{space 2}-.2227664{col 26}{space 2} .0210566{col 37}{space 1}  -10.58{col 46}{space 3}0.000{col 54}{space 4}-.2674043{col 67}{space 3}-.1781285
{txt}{space 9}24  {c |}{col 14}{res}{space 2}-.2403159{col 26}{space 2} .0204871{col 37}{space 1}  -11.73{col 46}{space 3}0.000{col 54}{space 4}-.2837467{col 67}{space 3}-.1968852
{txt}{space 9}26  {c |}{col 14}{res}{space 2}  .006297{col 26}{space 2}  .012429{col 37}{space 1}    0.51{col 46}{space 3}0.619{col 54}{space 4}-.0200513{col 67}{space 3} .0326454
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 2.435578{col 26}{space 2} .2086102{col 37}{space 1}   11.68{col 46}{space 3}0.000{col 54}{space 4} 1.993344{col 67}{space 3} 2.877811
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store m1, title(1850)

. 
. reg ENP_cst c.logdis   vv1million    popmillion i.dummies if south==0&yr<1875&dummies!=48&dummies!=49, cluster(dummies)

{txt}Linear regression                               Number of obs     = {res}     3,339
                                                {txt}{help j_robustsingular:F(2, 25) }         =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0748
                                                {txt}Root MSE          =    {res} .27808

{txt}{ralign 78:(Std. err. adjusted for {res:26} clusters in {res:dummies})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     ENP_cst{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}logdist {c |}{col 14}{res}{space 2}-.0150996{col 26}{space 2} .0137997{col 37}{space 1}   -1.09{col 46}{space 3}0.284{col 54}{space 4}-.0435206{col 67}{space 3} .0133214
{txt}{space 2}vv1million {c |}{col 14}{res}{space 2} .1351587{col 26}{space 2} .1178413{col 37}{space 1}    1.15{col 46}{space 3}0.262{col 54}{space 4}  -.10754{col 67}{space 3} .3778575
{txt}{space 2}popmillion {c |}{col 14}{res}{space 2}-.0396868{col 26}{space 2} .0205741{col 37}{space 1}   -1.93{col 46}{space 3}0.065{col 54}{space 4}-.0820598{col 67}{space 3} .0026863
{txt}{space 12} {c |}
{space 5}dummies {c |}
{space 10}2  {c |}{col 14}{res}{space 2} -.012639{col 26}{space 2} .0370658{col 37}{space 1}   -0.34{col 46}{space 3}0.736{col 54}{space 4}-.0889774{col 67}{space 3} .0636995
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.0784339{col 26}{space 2} .0247845{col 37}{space 1}   -3.16{col 46}{space 3}0.004{col 54}{space 4}-.1294785{col 67}{space 3}-.0273893
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.1869033{col 26}{space 2} .0310989{col 37}{space 1}   -6.01{col 46}{space 3}0.000{col 54}{space 4}-.2509528{col 67}{space 3}-.1228539
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.0470483{col 26}{space 2} .0117907{col 37}{space 1}   -3.99{col 46}{space 3}0.001{col 54}{space 4}-.0713317{col 67}{space 3}-.0227648
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .1425833{col 26}{space 2} .0541023{col 37}{space 1}    2.64{col 46}{space 3}0.014{col 54}{space 4} .0311575{col 67}{space 3}  .254009
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.2375106{col 26}{space 2}  .005525{col 37}{space 1}  -42.99{col 46}{space 3}0.000{col 54}{space 4}-.2488896{col 67}{space 3}-.2261317
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.0870889{col 26}{space 2} .0019192{col 37}{space 1}  -45.38{col 46}{space 3}0.000{col 54}{space 4}-.0910416{col 67}{space 3}-.0831362
{txt}{space 9}13  {c |}{col 14}{res}{space 2}-.0283681{col 26}{space 2}  .004948{col 37}{space 1}   -5.73{col 46}{space 3}0.000{col 54}{space 4}-.0385587{col 67}{space 3}-.0181775
{txt}{space 9}15  {c |}{col 14}{res}{space 2}-.2143018{col 26}{space 2} .0148139{col 37}{space 1}  -14.47{col 46}{space 3}0.000{col 54}{space 4}-.2448117{col 67}{space 3}-.1837919
{txt}{space 9}16  {c |}{col 14}{res}{space 2} .0061718{col 26}{space 2} .0307314{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0571206{col 67}{space 3} .0694643
{txt}{space 9}17  {c |}{col 14}{res}{space 2}-.0410986{col 26}{space 2} .0169882{col 37}{space 1}   -2.42{col 46}{space 3}0.023{col 54}{space 4}-.0760864{col 67}{space 3}-.0061108
{txt}{space 9}19  {c |}{col 14}{res}{space 2}-.0562992{col 26}{space 2} .0273092{col 37}{space 1}   -2.06{col 46}{space 3}0.050{col 54}{space 4}-.1125435{col 67}{space 3}-.0000548
{txt}{space 9}21  {c |}{col 14}{res}{space 2} .0510813{col 26}{space 2} .0077853{col 37}{space 1}    6.56{col 46}{space 3}0.000{col 54}{space 4} .0350472{col 67}{space 3} .0671155
{txt}{space 9}22  {c |}{col 14}{res}{space 2} .0464601{col 26}{space 2} .0223295{col 37}{space 1}    2.08{col 46}{space 3}0.048{col 54}{space 4} .0004717{col 67}{space 3} .0924486
{txt}{space 9}24  {c |}{col 14}{res}{space 2} -.022643{col 26}{space 2} .0133819{col 37}{space 1}   -1.69{col 46}{space 3}0.103{col 54}{space 4}-.0502036{col 67}{space 3} .0049176
{txt}{space 9}26  {c |}{col 14}{res}{space 2}-.0199142{col 26}{space 2} .0107069{col 37}{space 1}   -1.86{col 46}{space 3}0.075{col 54}{space 4}-.0419655{col 67}{space 3}  .002137
{txt}{space 9}28  {c |}{col 14}{res}{space 2}-.1090993{col 26}{space 2} .0176798{col 37}{space 1}   -6.17{col 46}{space 3}0.000{col 54}{space 4}-.1455116{col 67}{space 3} -.072687
{txt}{space 9}30  {c |}{col 14}{res}{space 2}-.0687938{col 26}{space 2} .0144064{col 37}{space 1}   -4.78{col 46}{space 3}0.000{col 54}{space 4}-.0984642{col 67}{space 3}-.0391233
{txt}{space 9}31  {c |}{col 14}{res}{space 2} .0723166{col 26}{space 2} .0259517{col 37}{space 1}    2.79{col 46}{space 3}0.010{col 54}{space 4}  .018868{col 67}{space 3} .1257652
{txt}{space 9}32  {c |}{col 14}{res}{space 2} -.052789{col 26}{space 2} .0107808{col 37}{space 1}   -4.90{col 46}{space 3}0.000{col 54}{space 4}-.0749924{col 67}{space 3}-.0305855
{txt}{space 9}33  {c |}{col 14}{res}{space 2} .0433301{col 26}{space 2} .0205495{col 37}{space 1}    2.11{col 46}{space 3}0.045{col 54}{space 4} .0010075{col 67}{space 3} .0856527
{txt}{space 9}34  {c |}{col 14}{res}{space 2}-.1177651{col 26}{space 2} .0163118{col 37}{space 1}   -7.22{col 46}{space 3}0.000{col 54}{space 4}-.1513599{col 67}{space 3}-.0841704
{txt}{space 9}35  {c |}{col 14}{res}{space 2} -.045365{col 26}{space 2} .0193403{col 37}{space 1}   -2.35{col 46}{space 3}0.027{col 54}{space 4}-.0851972{col 67}{space 3}-.0055329
{txt}{space 9}36  {c |}{col 14}{res}{space 2}-.0582785{col 26}{space 2} .0128521{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0847479{col 67}{space 3} -.031809
{txt}{space 9}50  {c |}{col 14}{res}{space 2}-.3504884{col 26}{space 2} .0096801{col 37}{space 1}  -36.21{col 46}{space 3}0.000{col 54}{space 4} -.370425{col 67}{space 3}-.3305518
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 2.163353{col 26}{space 2} .0941285{col 37}{space 1}   22.98{col 46}{space 3}0.000{col 54}{space 4} 1.969491{col 67}{space 3} 2.357214
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store m2, title(1875)

. 
. reg ENP_cst c.logdis   vv1million    popmillion i.dummies if south==0&yr<1900&dummies!=48&dummies!=49, cluster(dummies)

{txt}Linear regression                               Number of obs     = {res}     6,254
                                                {txt}{help j_robustsingular:F(2, 32) }         =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0656
                                                {txt}Root MSE          =    {res} .27445

{txt}{ralign 78:(Std. err. adjusted for {res:33} clusters in {res:dummies})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     ENP_cst{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}logdist {c |}{col 14}{res}{space 2} .0336632{col 26}{space 2} .0164568{col 37}{space 1}    2.05{col 46}{space 3}0.049{col 54}{space 4} .0001417{col 67}{space 3} .0671847
{txt}{space 2}vv1million {c |}{col 14}{res}{space 2} .0643054{col 26}{space 2}  .036314{col 37}{space 1}    1.77{col 46}{space 3}0.086{col 54}{space 4}-.0096638{col 67}{space 3} .1382746
{txt}{space 2}popmillion {c |}{col 14}{res}{space 2} .0137469{col 26}{space 2} .0193917{col 37}{space 1}    0.71{col 46}{space 3}0.484{col 54}{space 4}-.0257526{col 67}{space 3} .0532465
{txt}{space 12} {c |}
{space 5}dummies {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0626784{col 26}{space 2} .0552817{col 37}{space 1}   -1.13{col 46}{space 3}0.265{col 54}{space 4}-.1752835{col 67}{space 3} .0499267
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0171232{col 26}{space 2} .0276223{col 37}{space 1}    0.62{col 46}{space 3}0.540{col 54}{space 4}-.0391416{col 67}{space 3} .0733879
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.0279791{col 26}{space 2} .0379007{col 37}{space 1}   -0.74{col 46}{space 3}0.466{col 54}{space 4}-.1051803{col 67}{space 3} .0492222
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .0477811{col 26}{space 2} .0171922{col 37}{space 1}    2.78{col 46}{space 3}0.009{col 54}{space 4} .0127617{col 67}{space 3} .0828005
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.0151929{col 26}{space 2} .0679784{col 37}{space 1}   -0.22{col 46}{space 3}0.825{col 54}{space 4}-.1536603{col 67}{space 3} .1232745
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.1607048{col 26}{space 2} .0042672{col 37}{space 1}  -37.66{col 46}{space 3}0.000{col 54}{space 4}-.1693969{col 67}{space 3}-.1520128
{txt}{space 9}12  {c |}{col 14}{res}{space 2} -.153465{col 26}{space 2} .0016597{col 37}{space 1}  -92.47{col 46}{space 3}0.000{col 54}{space 4}-.1568457{col 67}{space 3}-.1500843
{txt}{space 9}13  {c |}{col 14}{res}{space 2} .0011892{col 26}{space 2} .0063026{col 37}{space 1}    0.19{col 46}{space 3}0.852{col 54}{space 4}-.0116488{col 67}{space 3} .0140272
{txt}{space 9}15  {c |}{col 14}{res}{space 2}-.1766041{col 26}{space 2} .0189186{col 37}{space 1}   -9.33{col 46}{space 3}0.000{col 54}{space 4}  -.21514{col 67}{space 3}-.1380681
{txt}{space 9}16  {c |}{col 14}{res}{space 2}-.0426412{col 26}{space 2} .0393861{col 37}{space 1}   -1.08{col 46}{space 3}0.287{col 54}{space 4}-.1228681{col 67}{space 3} .0375857
{txt}{space 9}17  {c |}{col 14}{res}{space 2}-.0382507{col 26}{space 2} .0231654{col 37}{space 1}   -1.65{col 46}{space 3}0.108{col 54}{space 4} -.085437{col 67}{space 3} .0089356
{txt}{space 9}19  {c |}{col 14}{res}{space 2}-.0548536{col 26}{space 2} .0444536{col 37}{space 1}   -1.23{col 46}{space 3}0.226{col 54}{space 4}-.1454026{col 67}{space 3} .0356955
{txt}{space 9}21  {c |}{col 14}{res}{space 2} .0127073{col 26}{space 2} .0076262{col 37}{space 1}    1.67{col 46}{space 3}0.105{col 54}{space 4}-.0028268{col 67}{space 3} .0282414
{txt}{space 9}22  {c |}{col 14}{res}{space 2}-.0042388{col 26}{space 2} .0339155{col 37}{space 1}   -0.12{col 46}{space 3}0.901{col 54}{space 4}-.0733223{col 67}{space 3} .0648448
{txt}{space 9}24  {c |}{col 14}{res}{space 2}-.0450401{col 26}{space 2} .0195279{col 37}{space 1}   -2.31{col 46}{space 3}0.028{col 54}{space 4} -.084817{col 67}{space 3}-.0052631
{txt}{space 9}26  {c |}{col 14}{res}{space 2} .0439188{col 26}{space 2} .0212372{col 37}{space 1}    2.07{col 46}{space 3}0.047{col 54}{space 4}   .00066{col 67}{space 3} .0871776
{txt}{space 9}28  {c |}{col 14}{res}{space 2}-.0650471{col 26}{space 2} .0273014{col 37}{space 1}   -2.38{col 46}{space 3}0.023{col 54}{space 4}-.1206583{col 67}{space 3}-.0094359
{txt}{space 9}30  {c |}{col 14}{res}{space 2}-.0162163{col 26}{space 2} .0210179{col 37}{space 1}   -0.77{col 46}{space 3}0.446{col 54}{space 4}-.0590284{col 67}{space 3} .0265958
{txt}{space 9}31  {c |}{col 14}{res}{space 2} .1092422{col 26}{space 2} .0324111{col 37}{space 1}    3.37{col 46}{space 3}0.002{col 54}{space 4}  .043223{col 67}{space 3} .1752614
{txt}{space 9}32  {c |}{col 14}{res}{space 2} .0667599{col 26}{space 2} .0190407{col 37}{space 1}    3.51{col 46}{space 3}0.001{col 54}{space 4} .0279753{col 67}{space 3} .1055446
{txt}{space 9}33  {c |}{col 14}{res}{space 2} .2126268{col 26}{space 2} .0266042{col 37}{space 1}    7.99{col 46}{space 3}0.000{col 54}{space 4} .1584357{col 67}{space 3} .2668178
{txt}{space 9}34  {c |}{col 14}{res}{space 2} .0143535{col 26}{space 2} .0246347{col 37}{space 1}    0.58{col 46}{space 3}0.564{col 54}{space 4}-.0358258{col 67}{space 3} .0645328
{txt}{space 9}35  {c |}{col 14}{res}{space 2}-.1349709{col 26}{space 2} .0253426{col 37}{space 1}   -5.33{col 46}{space 3}0.000{col 54}{space 4}-.1865921{col 67}{space 3}-.0833496
{txt}{space 9}36  {c |}{col 14}{res}{space 2}  .157928{col 26}{space 2} .0206255{col 37}{space 1}    7.66{col 46}{space 3}0.000{col 54}{space 4} .1159153{col 67}{space 3} .1999407
{txt}{space 9}37  {c |}{col 14}{res}{space 2}-.1812396{col 26}{space 2} .0200875{col 37}{space 1}   -9.02{col 46}{space 3}0.000{col 54}{space 4}-.2221565{col 67}{space 3}-.1403226
{txt}{space 9}38  {c |}{col 14}{res}{space 2} .2632648{col 26}{space 2} .0218013{col 37}{space 1}   12.08{col 46}{space 3}0.000{col 54}{space 4}  .218857{col 67}{space 3} .3076725
{txt}{space 9}40  {c |}{col 14}{res}{space 2} .0198579{col 26}{space 2} .0209613{col 37}{space 1}    0.95{col 46}{space 3}0.351{col 54}{space 4}-.0228388{col 67}{space 3} .0625545
{txt}{space 9}41  {c |}{col 14}{res}{space 2} .5509072{col 26}{space 2} .0241099{col 37}{space 1}   22.85{col 46}{space 3}0.000{col 54}{space 4}  .501797{col 67}{space 3} .6000174
{txt}{space 9}42  {c |}{col 14}{res}{space 2} .0066887{col 26}{space 2} .0175865{col 37}{space 1}    0.38{col 46}{space 3}0.706{col 54}{space 4}-.0291339{col 67}{space 3} .0425113
{txt}{space 9}43  {c |}{col 14}{res}{space 2} .5463237{col 26}{space 2} .0155769{col 37}{space 1}   35.07{col 46}{space 3}0.000{col 54}{space 4} .5145947{col 67}{space 3} .5780527
{txt}{space 9}50  {c |}{col 14}{res}{space 2}-.0292006{col 26}{space 2} .0118103{col 37}{space 1}   -2.47{col 46}{space 3}0.019{col 54}{space 4}-.0532574{col 67}{space 3}-.0051438
{txt}{space 9}51  {c |}{col 14}{res}{space 2}  .516429{col 26}{space 2} .1098012{col 37}{space 1}    4.70{col 46}{space 3}0.000{col 54}{space 4} .2927712{col 67}{space 3} .7400867
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 1.835288{col 26}{space 2} .1090912{col 37}{space 1}   16.82{col 46}{space 3}0.000{col 54}{space 4} 1.613077{col 67}{space 3}   2.0575
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store m3, title(1900)

. 
. reg ENP_cst c.logdis   vv1million   popmillion i.dummies if south==0&yr<1925&dummies!=48&dummies!=49, cluster(dummies)

{txt}Linear regression                               Number of obs     = {res}    10,202
                                                {txt}{help j_robustsingular:F(2, 37) }         =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0512
                                                {txt}Root MSE          =    {res} .32636

{txt}{ralign 78:(Std. err. adjusted for {res:38} clusters in {res:dummies})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     ENP_cst{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}logdist {c |}{col 14}{res}{space 2} .0236532{col 26}{space 2} .0253154{col 37}{space 1}    0.93{col 46}{space 3}0.356{col 54}{space 4}-.0276406{col 67}{space 3} .0749469
{txt}{space 2}vv1million {c |}{col 14}{res}{space 2} .0609985{col 26}{space 2} .0183479{col 37}{space 1}    3.32{col 46}{space 3}0.002{col 54}{space 4} .0238222{col 67}{space 3} .0981748
{txt}{space 2}popmillion {c |}{col 14}{res}{space 2} .0224959{col 26}{space 2} .0078695{col 37}{space 1}    2.86{col 46}{space 3}0.007{col 54}{space 4} .0065508{col 67}{space 3}  .038441
{txt}{space 12} {c |}
{space 5}dummies {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0530004{col 26}{space 2} .0285326{col 37}{space 1}   -1.86{col 46}{space 3}0.071{col 54}{space 4}-.1108129{col 67}{space 3} .0048121
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0600909{col 26}{space 2}  .041429{col 37}{space 1}    1.45{col 46}{space 3}0.155{col 54}{space 4}-.0238523{col 67}{space 3} .1440341
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.0119704{col 26}{space 2} .0588238{col 37}{space 1}   -0.20{col 46}{space 3}0.840{col 54}{space 4}-.1311586{col 67}{space 3} .1072179
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .0451246{col 26}{space 2} .0208175{col 37}{space 1}    2.17{col 46}{space 3}0.037{col 54}{space 4} .0029444{col 67}{space 3} .0873048
{txt}{space 10}8  {c |}{col 14}{res}{space 2} -.042809{col 26}{space 2} .0342825{col 37}{space 1}   -1.25{col 46}{space 3}0.220{col 54}{space 4} -.112272{col 67}{space 3} .0266539
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.0915013{col 26}{space 2} .0053628{col 37}{space 1}  -17.06{col 46}{space 3}0.000{col 54}{space 4}-.1023675{col 67}{space 3}-.0806352
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.1737824{col 26}{space 2} .0033007{col 37}{space 1}  -52.65{col 46}{space 3}0.000{col 54}{space 4}-.1804703{col 67}{space 3}-.1670945
{txt}{space 9}13  {c |}{col 14}{res}{space 2} .0350881{col 26}{space 2} .0091937{col 37}{space 1}    3.82{col 46}{space 3}0.000{col 54}{space 4} .0164599{col 67}{space 3} .0537163
{txt}{space 9}15  {c |}{col 14}{res}{space 2}-.1602568{col 26}{space 2} .0096254{col 37}{space 1}  -16.65{col 46}{space 3}0.000{col 54}{space 4}-.1797596{col 67}{space 3}-.1407539
{txt}{space 9}16  {c |}{col 14}{res}{space 2}-.0504557{col 26}{space 2} .0181858{col 37}{space 1}   -2.77{col 46}{space 3}0.009{col 54}{space 4}-.0873035{col 67}{space 3}-.0136078
{txt}{space 9}17  {c |}{col 14}{res}{space 2} .0118619{col 26}{space 2} .0145268{col 37}{space 1}    0.82{col 46}{space 3}0.419{col 54}{space 4}-.0175723{col 67}{space 3}  .041296
{txt}{space 9}19  {c |}{col 14}{res}{space 2} -.045169{col 26}{space 2} .0339165{col 37}{space 1}   -1.33{col 46}{space 3}0.191{col 54}{space 4}-.1138904{col 67}{space 3} .0235524
{txt}{space 9}21  {c |}{col 14}{res}{space 2} .0068726{col 26}{space 2} .0079408{col 37}{space 1}    0.87{col 46}{space 3}0.392{col 54}{space 4} -.009217{col 67}{space 3} .0229622
{txt}{space 9}22  {c |}{col 14}{res}{space 2}-.0331105{col 26}{space 2} .0286004{col 37}{space 1}   -1.16{col 46}{space 3}0.254{col 54}{space 4}-.0910604{col 67}{space 3} .0248393
{txt}{space 9}24  {c |}{col 14}{res}{space 2}-.0651235{col 26}{space 2}  .011514{col 37}{space 1}   -5.66{col 46}{space 3}0.000{col 54}{space 4} -.088453{col 67}{space 3} -.041794
{txt}{space 9}26  {c |}{col 14}{res}{space 2}-.0364484{col 26}{space 2} .0157355{col 37}{space 1}   -2.32{col 46}{space 3}0.026{col 54}{space 4}-.0683315{col 67}{space 3}-.0045654
{txt}{space 9}28  {c |}{col 14}{res}{space 2}-.0933725{col 26}{space 2} .0268738{col 37}{space 1}   -3.47{col 46}{space 3}0.001{col 54}{space 4}-.1478241{col 67}{space 3}-.0389209
{txt}{space 9}30  {c |}{col 14}{res}{space 2}-.0313174{col 26}{space 2} .0210828{col 37}{space 1}   -1.49{col 46}{space 3}0.146{col 54}{space 4}-.0740353{col 67}{space 3} .0114005
{txt}{space 9}31  {c |}{col 14}{res}{space 2}-.0418938{col 26}{space 2} .0504228{col 37}{space 1}   -0.83{col 46}{space 3}0.411{col 54}{space 4}  -.14406{col 67}{space 3} .0602724
{txt}{space 9}32  {c |}{col 14}{res}{space 2} .0073348{col 26}{space 2} .0270704{col 37}{space 1}    0.27{col 46}{space 3}0.788{col 54}{space 4} -.047515{col 67}{space 3} .0621846
{txt}{space 9}33  {c |}{col 14}{res}{space 2} .2401143{col 26}{space 2} .0428273{col 37}{space 1}    5.61{col 46}{space 3}0.000{col 54}{space 4}  .153338{col 67}{space 3} .3268906
{txt}{space 9}34  {c |}{col 14}{res}{space 2} .0205084{col 26}{space 2} .0298359{col 37}{space 1}    0.69{col 46}{space 3}0.496{col 54}{space 4}-.0399449{col 67}{space 3} .0809617
{txt}{space 9}35  {c |}{col 14}{res}{space 2} .0897423{col 26}{space 2} .0389743{col 37}{space 1}    2.30{col 46}{space 3}0.027{col 54}{space 4} .0107728{col 67}{space 3} .1687117
{txt}{space 9}36  {c |}{col 14}{res}{space 2} .0658004{col 26}{space 2}  .028397{col 37}{space 1}    2.32{col 46}{space 3}0.026{col 54}{space 4} .0082626{col 67}{space 3} .1233381
{txt}{space 9}37  {c |}{col 14}{res}{space 2} .0347267{col 26}{space 2} .0335183{col 37}{space 1}    1.04{col 46}{space 3}0.307{col 54}{space 4}-.0331877{col 67}{space 3} .1026412
{txt}{space 9}38  {c |}{col 14}{res}{space 2} .2525124{col 26}{space 2} .0354953{col 37}{space 1}    7.11{col 46}{space 3}0.000{col 54}{space 4} .1805922{col 67}{space 3} .3244326
{txt}{space 9}39  {c |}{col 14}{res}{space 2} .2588132{col 26}{space 2} .0465469{col 37}{space 1}    5.56{col 46}{space 3}0.000{col 54}{space 4} .1645003{col 67}{space 3} .3531262
{txt}{space 9}40  {c |}{col 14}{res}{space 2}-.0294284{col 26}{space 2} .0324661{col 37}{space 1}   -0.91{col 46}{space 3}0.371{col 54}{space 4}-.0952109{col 67}{space 3} .0363541
{txt}{space 9}41  {c |}{col 14}{res}{space 2} .2747052{col 26}{space 2} .0382303{col 37}{space 1}    7.19{col 46}{space 3}0.000{col 54}{space 4} .1972432{col 67}{space 3} .3521671
{txt}{space 9}42  {c |}{col 14}{res}{space 2}-.1347717{col 26}{space 2} .0288131{col 37}{space 1}   -4.68{col 46}{space 3}0.000{col 54}{space 4}-.1931526{col 67}{space 3}-.0763908
{txt}{space 9}43  {c |}{col 14}{res}{space 2}    .1713{col 26}{space 2} .0276673{col 37}{space 1}    6.19{col 46}{space 3}0.000{col 54}{space 4} .1152407{col 67}{space 3} .2273593
{txt}{space 9}44  {c |}{col 14}{res}{space 2} .1625754{col 26}{space 2} .0370868{col 37}{space 1}    4.38{col 46}{space 3}0.000{col 54}{space 4} .0874305{col 67}{space 3} .2377203
{txt}{space 9}45  {c |}{col 14}{res}{space 2}  .165114{col 26}{space 2} .0332188{col 37}{space 1}    4.97{col 46}{space 3}0.000{col 54}{space 4} .0978064{col 67}{space 3} .2324216
{txt}{space 9}46  {c |}{col 14}{res}{space 2}-.0588815{col 26}{space 2} .0338168{col 37}{space 1}   -1.74{col 46}{space 3}0.090{col 54}{space 4}-.1274009{col 67}{space 3} .0096378
{txt}{space 9}47  {c |}{col 14}{res}{space 2}-.4111973{col 26}{space 2} .0378416{col 37}{space 1}  -10.87{col 46}{space 3}0.000{col 54}{space 4}-.4878716{col 67}{space 3}-.3345231
{txt}{space 9}50  {c |}{col 14}{res}{space 2} .0115254{col 26}{space 2}  .015724{col 37}{space 1}    0.73{col 46}{space 3}0.468{col 54}{space 4}-.0203344{col 67}{space 3} .0433853
{txt}{space 9}51  {c |}{col 14}{res}{space 2} .4984315{col 26}{space 2} .1646799{col 37}{space 1}    3.03{col 46}{space 3}0.004{col 54}{space 4} .1647584{col 67}{space 3} .8321047
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 1.890753{col 26}{space 2} .1670924{col 37}{space 1}   11.32{col 46}{space 3}0.000{col 54}{space 4} 1.552192{col 67}{space 3} 2.229315
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store m4, title(1925)

. 
. reg ENP_cst c.logdis   vv1million    popmillion i.dummies if south==0&yr<1950&dummies!=48&dummies!=49, cluster(dummies)

{txt}Linear regression                               Number of obs     = {res}    14,082
                                                {txt}{help j_robustsingular:F(2, 37) }         =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0416
                                                {txt}Root MSE          =    {res} .32754

{txt}{ralign 78:(Std. err. adjusted for {res:38} clusters in {res:dummies})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     ENP_cst{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}logdist {c |}{col 14}{res}{space 2} .0138867{col 26}{space 2} .0278652{col 37}{space 1}    0.50{col 46}{space 3}0.621{col 54}{space 4}-.0425735{col 67}{space 3} .0703469
{txt}{space 2}vv1million {c |}{col 14}{res}{space 2} .0150232{col 26}{space 2} .0090565{col 37}{space 1}    1.66{col 46}{space 3}0.106{col 54}{space 4}-.0033271{col 67}{space 3} .0333735
{txt}{space 2}popmillion {c |}{col 14}{res}{space 2} -.004809{col 26}{space 2} .0079748{col 37}{space 1}   -0.60{col 46}{space 3}0.550{col 54}{space 4}-.0209674{col 67}{space 3} .0113494
{txt}{space 12} {c |}
{space 5}dummies {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0445302{col 26}{space 2} .0632335{col 37}{space 1}    0.70{col 46}{space 3}0.486{col 54}{space 4}-.0835931{col 67}{space 3} .1726534
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0489091{col 26}{space 2} .0439227{col 37}{space 1}    1.11{col 46}{space 3}0.273{col 54}{space 4}-.0400867{col 67}{space 3}  .137905
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.0207266{col 26}{space 2} .0697383{col 37}{space 1}   -0.30{col 46}{space 3}0.768{col 54}{space 4}-.1620299{col 67}{space 3} .1205766
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .0269166{col 26}{space 2} .0367094{col 37}{space 1}    0.73{col 46}{space 3}0.468{col 54}{space 4}-.0474637{col 67}{space 3} .1012968
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .1183032{col 26}{space 2} .0622573{col 37}{space 1}    1.90{col 46}{space 3}0.065{col 54}{space 4}-.0078422{col 67}{space 3} .2444485
{txt}{space 9}11  {c |}{col 14}{res}{space 2} -.072616{col 26}{space 2} .0058927{col 37}{space 1}  -12.32{col 46}{space 3}0.000{col 54}{space 4}-.0845557{col 67}{space 3}-.0606762
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.1692503{col 26}{space 2}  .003311{col 37}{space 1}  -51.12{col 46}{space 3}0.000{col 54}{space 4} -.175959{col 67}{space 3}-.1625417
{txt}{space 9}13  {c |}{col 14}{res}{space 2} .0639772{col 26}{space 2} .0139131{col 37}{space 1}    4.60{col 46}{space 3}0.000{col 54}{space 4} .0357867{col 67}{space 3} .0921678
{txt}{space 9}15  {c |}{col 14}{res}{space 2}-.1150661{col 26}{space 2} .0114197{col 37}{space 1}  -10.08{col 46}{space 3}0.000{col 54}{space 4}-.1382046{col 67}{space 3}-.0919277
{txt}{space 9}16  {c |}{col 14}{res}{space 2} .0166209{col 26}{space 2} .0322977{col 37}{space 1}    0.51{col 46}{space 3}0.610{col 54}{space 4}-.0488205{col 67}{space 3} .0820623
{txt}{space 9}17  {c |}{col 14}{res}{space 2} .0485497{col 26}{space 2} .0130321{col 37}{space 1}    3.73{col 46}{space 3}0.001{col 54}{space 4}  .022144{col 67}{space 3} .0749553
{txt}{space 9}19  {c |}{col 14}{res}{space 2} .0186058{col 26}{space 2}  .033071{col 37}{space 1}    0.56{col 46}{space 3}0.577{col 54}{space 4}-.0484025{col 67}{space 3}  .085614
{txt}{space 9}21  {c |}{col 14}{res}{space 2} .0024158{col 26}{space 2}  .006476{col 37}{space 1}    0.37{col 46}{space 3}0.711{col 54}{space 4}-.0107058{col 67}{space 3} .0155374
{txt}{space 9}22  {c |}{col 14}{res}{space 2} .0066535{col 26}{space 2} .0197662{col 37}{space 1}    0.34{col 46}{space 3}0.738{col 54}{space 4}-.0333967{col 67}{space 3} .0467036
{txt}{space 9}24  {c |}{col 14}{res}{space 2}-.0522677{col 26}{space 2} .0190657{col 37}{space 1}   -2.74{col 46}{space 3}0.009{col 54}{space 4}-.0908984{col 67}{space 3}-.0136369
{txt}{space 9}26  {c |}{col 14}{res}{space 2}-.0387048{col 26}{space 2} .0196156{col 37}{space 1}   -1.97{col 46}{space 3}0.056{col 54}{space 4}-.0784498{col 67}{space 3} .0010402
{txt}{space 9}28  {c |}{col 14}{res}{space 2}-.0514042{col 26}{space 2} .0192159{col 37}{space 1}   -2.68{col 46}{space 3}0.011{col 54}{space 4}-.0903393{col 67}{space 3}-.0124691
{txt}{space 9}30  {c |}{col 14}{res}{space 2} .0513237{col 26}{space 2} .0151673{col 37}{space 1}    3.38{col 46}{space 3}0.002{col 54}{space 4} .0205919{col 67}{space 3} .0820555
{txt}{space 9}31  {c |}{col 14}{res}{space 2}-.1965767{col 26}{space 2} .0448423{col 37}{space 1}   -4.38{col 46}{space 3}0.000{col 54}{space 4}-.2874358{col 67}{space 3}-.1057175
{txt}{space 9}32  {c |}{col 14}{res}{space 2} .1102773{col 26}{space 2} .0210888{col 37}{space 1}    5.23{col 46}{space 3}0.000{col 54}{space 4} .0675472{col 67}{space 3} .1530073
{txt}{space 9}33  {c |}{col 14}{res}{space 2} .1291247{col 26}{space 2} .0459799{col 37}{space 1}    2.81{col 46}{space 3}0.008{col 54}{space 4} .0359606{col 67}{space 3} .2222889
{txt}{space 9}34  {c |}{col 14}{res}{space 2} .0137032{col 26}{space 2} .0243679{col 37}{space 1}    0.56{col 46}{space 3}0.577{col 54}{space 4}-.0356708{col 67}{space 3} .0630773
{txt}{space 9}35  {c |}{col 14}{res}{space 2}  .042067{col 26}{space 2}  .045249{col 37}{space 1}    0.93{col 46}{space 3}0.359{col 54}{space 4}-.0496163{col 67}{space 3} .1337502
{txt}{space 9}36  {c |}{col 14}{res}{space 2} .0454347{col 26}{space 2} .0254106{col 37}{space 1}    1.79{col 46}{space 3}0.082{col 54}{space 4}-.0060521{col 67}{space 3} .0969215
{txt}{space 9}37  {c |}{col 14}{res}{space 2}-.0108588{col 26}{space 2} .0340199{col 37}{space 1}   -0.32{col 46}{space 3}0.751{col 54}{space 4}-.0797896{col 67}{space 3}  .058072
{txt}{space 9}38  {c |}{col 14}{res}{space 2}  .078977{col 26}{space 2}  .039129{col 37}{space 1}    2.02{col 46}{space 3}0.051{col 54}{space 4}-.0003058{col 67}{space 3} .1582598
{txt}{space 9}39  {c |}{col 14}{res}{space 2} .0063267{col 26}{space 2} .0439704{col 37}{space 1}    0.14{col 46}{space 3}0.886{col 54}{space 4}-.0827659{col 67}{space 3} .0954192
{txt}{space 9}40  {c |}{col 14}{res}{space 2}-.0348912{col 26}{space 2} .0375776{col 37}{space 1}   -0.93{col 46}{space 3}0.359{col 54}{space 4}-.1110307{col 67}{space 3} .0412482
{txt}{space 9}41  {c |}{col 14}{res}{space 2} .0909368{col 26}{space 2} .0425342{col 37}{space 1}    2.14{col 46}{space 3}0.039{col 54}{space 4} .0047543{col 67}{space 3} .1771193
{txt}{space 9}42  {c |}{col 14}{res}{space 2}-.1083926{col 26}{space 2} .0306038{col 37}{space 1}   -3.54{col 46}{space 3}0.001{col 54}{space 4}-.1704018{col 67}{space 3}-.0463835
{txt}{space 9}43  {c |}{col 14}{res}{space 2} .0448911{col 26}{space 2} .0283314{col 37}{space 1}    1.58{col 46}{space 3}0.122{col 54}{space 4}-.0125138{col 67}{space 3} .1022959
{txt}{space 9}44  {c |}{col 14}{res}{space 2} .0312181{col 26}{space 2} .0406402{col 37}{space 1}    0.77{col 46}{space 3}0.447{col 54}{space 4}-.0511266{col 67}{space 3} .1135629
{txt}{space 9}45  {c |}{col 14}{res}{space 2}-.0727271{col 26}{space 2} .0256185{col 37}{space 1}   -2.84{col 46}{space 3}0.007{col 54}{space 4}-.1246351{col 67}{space 3}-.0208191
{txt}{space 9}46  {c |}{col 14}{res}{space 2}-.0829746{col 26}{space 2} .0372895{col 37}{space 1}   -2.23{col 46}{space 3}0.032{col 54}{space 4}-.1585303{col 67}{space 3}-.0074189
{txt}{space 9}47  {c |}{col 14}{res}{space 2}-.3179765{col 26}{space 2} .0416608{col 37}{space 1}   -7.63{col 46}{space 3}0.000{col 54}{space 4}-.4023893{col 67}{space 3}-.2335637
{txt}{space 9}50  {c |}{col 14}{res}{space 2} .0049546{col 26}{space 2} .0232008{col 37}{space 1}    0.21{col 46}{space 3}0.832{col 54}{space 4}-.0420548{col 67}{space 3}  .051964
{txt}{space 9}51  {c |}{col 14}{res}{space 2} .4659974{col 26}{space 2} .1817964{col 37}{space 1}    2.56{col 46}{space 3}0.015{col 54}{space 4}  .097643{col 67}{space 3} .8343519
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 1.948546{col 26}{space 2} .1811519{col 37}{space 1}   10.76{col 46}{space 3}0.000{col 54}{space 4} 1.581497{col 67}{space 3} 2.315595
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store m5, title(1950)

. 
. reg ENP_cst c.logdis   vv1million   popmillion i.dummies if south==0&yr<1975&dummies!=48&dummies!=49, cluster(dummies)

{txt}Linear regression                               Number of obs     = {res}    18,254
                                                {txt}{help j_robustsingular:F(2, 37) }         =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0615
                                                {txt}Root MSE          =    {res} .31052

{txt}{ralign 78:(Std. err. adjusted for {res:38} clusters in {res:dummies})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     ENP_cst{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}logdist {c |}{col 14}{res}{space 2} .0093502{col 26}{space 2} .0285451{col 37}{space 1}    0.33{col 46}{space 3}0.745{col 54}{space 4}-.0484877{col 67}{space 3} .0671881
{txt}{space 2}vv1million {c |}{col 14}{res}{space 2} .0089637{col 26}{space 2} .0078143{col 37}{space 1}    1.15{col 46}{space 3}0.259{col 54}{space 4}-.0068696{col 67}{space 3}  .024797
{txt}{space 2}popmillion {c |}{col 14}{res}{space 2}-.0100089{col 26}{space 2} .0061247{col 37}{space 1}   -1.63{col 46}{space 3}0.111{col 54}{space 4}-.0224188{col 67}{space 3}  .002401
{txt}{space 12} {c |}
{space 5}dummies {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0749378{col 26}{space 2} .0653895{col 37}{space 1}    1.15{col 46}{space 3}0.259{col 54}{space 4}-.0575539{col 67}{space 3} .2074294
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0509915{col 26}{space 2} .0448559{col 37}{space 1}    1.14{col 46}{space 3}0.263{col 54}{space 4}-.0398952{col 67}{space 3} .1418781
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.0311852{col 26}{space 2} .0736942{col 37}{space 1}   -0.42{col 46}{space 3}0.675{col 54}{space 4}-.1805039{col 67}{space 3} .1181335
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .0357041{col 26}{space 2} .0420525{col 37}{space 1}    0.85{col 46}{space 3}0.401{col 54}{space 4}-.0495024{col 67}{space 3} .1209107
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .1951387{col 26}{space 2} .0645285{col 37}{space 1}    3.02{col 46}{space 3}0.005{col 54}{space 4} .0643916{col 67}{space 3} .3258857
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.0662995{col 26}{space 2} .0062885{col 37}{space 1}  -10.54{col 46}{space 3}0.000{col 54}{space 4}-.0790413{col 67}{space 3}-.0535577
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.1413739{col 26}{space 2} .0030221{col 37}{space 1}  -46.78{col 46}{space 3}0.000{col 54}{space 4}-.1474973{col 67}{space 3}-.1352505
{txt}{space 9}13  {c |}{col 14}{res}{space 2} .0673006{col 26}{space 2} .0159868{col 37}{space 1}    4.21{col 46}{space 3}0.000{col 54}{space 4} .0349082{col 67}{space 3} .0996929
{txt}{space 9}15  {c |}{col 14}{res}{space 2}-.0895922{col 26}{space 2} .0096988{col 37}{space 1}   -9.24{col 46}{space 3}0.000{col 54}{space 4}-.1092438{col 67}{space 3}-.0699406
{txt}{space 9}16  {c |}{col 14}{res}{space 2}  .036132{col 26}{space 2} .0344147{col 37}{space 1}    1.05{col 46}{space 3}0.301{col 54}{space 4}-.0335989{col 67}{space 3} .1058628
{txt}{space 9}17  {c |}{col 14}{res}{space 2}  .067437{col 26}{space 2} .0106485{col 37}{space 1}    6.33{col 46}{space 3}0.000{col 54}{space 4}  .045861{col 67}{space 3}  .089013
{txt}{space 9}19  {c |}{col 14}{res}{space 2} .0332547{col 26}{space 2} .0277346{col 37}{space 1}    1.20{col 46}{space 3}0.238{col 54}{space 4}-.0229408{col 67}{space 3} .0894503
{txt}{space 9}21  {c |}{col 14}{res}{space 2} .0154684{col 26}{space 2} .0061078{col 37}{space 1}    2.53{col 46}{space 3}0.016{col 54}{space 4} .0030927{col 67}{space 3}  .027844
{txt}{space 9}22  {c |}{col 14}{res}{space 2} .0219301{col 26}{space 2} .0133525{col 37}{space 1}    1.64{col 46}{space 3}0.109{col 54}{space 4}-.0051246{col 67}{space 3} .0489849
{txt}{space 9}24  {c |}{col 14}{res}{space 2}-.0701091{col 26}{space 2} .0187128{col 37}{space 1}   -3.75{col 46}{space 3}0.001{col 54}{space 4}-.1080248{col 67}{space 3}-.0321935
{txt}{space 9}26  {c |}{col 14}{res}{space 2} -.030721{col 26}{space 2} .0220423{col 37}{space 1}   -1.39{col 46}{space 3}0.172{col 54}{space 4} -.075383{col 67}{space 3} .0139409
{txt}{space 9}28  {c |}{col 14}{res}{space 2}-.0224957{col 26}{space 2} .0155092{col 37}{space 1}   -1.45{col 46}{space 3}0.155{col 54}{space 4}-.0539204{col 67}{space 3}  .008929
{txt}{space 9}30  {c |}{col 14}{res}{space 2} .0401977{col 26}{space 2} .0108743{col 37}{space 1}    3.70{col 46}{space 3}0.001{col 54}{space 4} .0181644{col 67}{space 3} .0622311
{txt}{space 9}31  {c |}{col 14}{res}{space 2}-.1175861{col 26}{space 2} .0423299{col 37}{space 1}   -2.78{col 46}{space 3}0.009{col 54}{space 4}-.2033545{col 67}{space 3}-.0318176
{txt}{space 9}32  {c |}{col 14}{res}{space 2} .0821241{col 26}{space 2} .0174062{col 37}{space 1}    4.72{col 46}{space 3}0.000{col 54}{space 4} .0468558{col 67}{space 3} .1173925
{txt}{space 9}33  {c |}{col 14}{res}{space 2} .0485326{col 26}{space 2} .0455085{col 37}{space 1}    1.07{col 46}{space 3}0.293{col 54}{space 4}-.0436764{col 67}{space 3} .1407415
{txt}{space 9}34  {c |}{col 14}{res}{space 2} .0245221{col 26}{space 2} .0223915{col 37}{space 1}    1.10{col 46}{space 3}0.281{col 54}{space 4}-.0208474{col 67}{space 3} .0698916
{txt}{space 9}35  {c |}{col 14}{res}{space 2}   .01683{col 26}{space 2} .0465216{col 37}{space 1}    0.36{col 46}{space 3}0.720{col 54}{space 4}-.0774317{col 67}{space 3} .1110917
{txt}{space 9}36  {c |}{col 14}{res}{space 2} .0445759{col 26}{space 2}  .024593{col 37}{space 1}    1.81{col 46}{space 3}0.078{col 54}{space 4}-.0052543{col 67}{space 3} .0944061
{txt}{space 9}37  {c |}{col 14}{res}{space 2}-.0013473{col 26}{space 2} .0331914{col 37}{space 1}   -0.04{col 46}{space 3}0.968{col 54}{space 4}-.0685995{col 67}{space 3} .0659048
{txt}{space 9}38  {c |}{col 14}{res}{space 2} .0392675{col 26}{space 2} .0398097{col 37}{space 1}    0.99{col 46}{space 3}0.330{col 54}{space 4}-.0413946{col 67}{space 3} .1199296
{txt}{space 9}39  {c |}{col 14}{res}{space 2}-.0287755{col 26}{space 2} .0414846{col 37}{space 1}   -0.69{col 46}{space 3}0.492{col 54}{space 4}-.1128314{col 67}{space 3} .0552803
{txt}{space 9}40  {c |}{col 14}{res}{space 2}-.0211457{col 26}{space 2} .0385756{col 37}{space 1}   -0.55{col 46}{space 3}0.587{col 54}{space 4}-.0993074{col 67}{space 3}  .057016
{txt}{space 9}41  {c |}{col 14}{res}{space 2} .0509214{col 26}{space 2}  .043208{col 37}{space 1}    1.18{col 46}{space 3}0.246{col 54}{space 4}-.0366263{col 67}{space 3} .1384692
{txt}{space 9}42  {c |}{col 14}{res}{space 2}-.0932945{col 26}{space 2} .0309271{col 37}{space 1}   -3.02{col 46}{space 3}0.005{col 54}{space 4}-.1559588{col 67}{space 3}-.0306302
{txt}{space 9}43  {c |}{col 14}{res}{space 2} .0231186{col 26}{space 2} .0283404{col 37}{space 1}    0.82{col 46}{space 3}0.420{col 54}{space 4}-.0343044{col 67}{space 3} .0805416
{txt}{space 9}44  {c |}{col 14}{res}{space 2} .0216224{col 26}{space 2} .0410532{col 37}{space 1}    0.53{col 46}{space 3}0.602{col 54}{space 4}-.0615593{col 67}{space 3} .1048041
{txt}{space 9}45  {c |}{col 14}{res}{space 2}-.0850922{col 26}{space 2}  .022087{col 37}{space 1}   -3.85{col 46}{space 3}0.000{col 54}{space 4}-.1298447{col 67}{space 3}-.0403397
{txt}{space 9}46  {c |}{col 14}{res}{space 2}-.0637135{col 26}{space 2} .0374074{col 37}{space 1}   -1.70{col 46}{space 3}0.097{col 54}{space 4} -.139508{col 67}{space 3} .0120811
{txt}{space 9}47  {c |}{col 14}{res}{space 2}-.1563976{col 26}{space 2} .0403482{col 37}{space 1}   -3.88{col 46}{space 3}0.000{col 54}{space 4}-.2381509{col 67}{space 3}-.0746443
{txt}{space 9}50  {c |}{col 14}{res}{space 2}-.0038608{col 26}{space 2} .0246592{col 37}{space 1}   -0.16{col 46}{space 3}0.876{col 54}{space 4}-.0538251{col 67}{space 3} .0461036
{txt}{space 9}51  {c |}{col 14}{res}{space 2}  .364397{col 26}{space 2} .1879676{col 37}{space 1}    1.94{col 46}{space 3}0.060{col 54}{space 4}-.0164614{col 67}{space 3} .7452555
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 1.954865{col 26}{space 2} .1850953{col 37}{space 1}   10.56{col 46}{space 3}0.000{col 54}{space 4} 1.579827{col 67}{space 3} 2.329904
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store m6, title(1975)

. 
. reg ENP_cst c.logdis   vv1million   popmillion i.dummies if south==0&yr<2000&dummies!=48&dummies!=49, cluster(dummies)

{txt}Linear regression                               Number of obs     = {res}    21,958
                                                {txt}{help j_robustsingular:F(2, 37) }         =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0671
                                                {txt}Root MSE          =    {res} .31445

{txt}{ralign 78:(Std. err. adjusted for {res:38} clusters in {res:dummies})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     ENP_cst{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}logdist {c |}{col 14}{res}{space 2} .0159832{col 26}{space 2} .0259721{col 37}{space 1}    0.62{col 46}{space 3}0.542{col 54}{space 4}-.0366413{col 67}{space 3} .0686078
{txt}{space 2}vv1million {c |}{col 14}{res}{space 2} .0009457{col 26}{space 2} .0121565{col 37}{space 1}    0.08{col 46}{space 3}0.938{col 54}{space 4}-.0236858{col 67}{space 3} .0255771
{txt}{space 2}popmillion {c |}{col 14}{res}{space 2}-.0080117{col 26}{space 2} .0057731{col 37}{space 1}   -1.39{col 46}{space 3}0.174{col 54}{space 4}-.0197092{col 67}{space 3} .0036857
{txt}{space 12} {c |}
{space 5}dummies {c |}
{space 10}2  {c |}{col 14}{res}{space 2}  .057394{col 26}{space 2}  .061965{col 37}{space 1}    0.93{col 46}{space 3}0.360{col 54}{space 4} -.068159{col 67}{space 3} .1829471
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0516005{col 26}{space 2} .0409227{col 37}{space 1}    1.26{col 46}{space 3}0.215{col 54}{space 4}-.0313168{col 67}{space 3} .1345177
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.0434105{col 26}{space 2} .0684846{col 37}{space 1}   -0.63{col 46}{space 3}0.530{col 54}{space 4}-.1821734{col 67}{space 3} .0953525
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .0205993{col 26}{space 2} .0414037{col 37}{space 1}    0.50{col 46}{space 3}0.622{col 54}{space 4}-.0632924{col 67}{space 3} .1044911
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .2066932{col 26}{space 2} .0656649{col 37}{space 1}    3.15{col 46}{space 3}0.003{col 54}{space 4} .0736435{col 67}{space 3}  .339743
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.0661744{col 26}{space 2} .0057478{col 37}{space 1}  -11.51{col 46}{space 3}0.000{col 54}{space 4}-.0778205{col 67}{space 3}-.0545283
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.1207834{col 26}{space 2} .0026157{col 37}{space 1}  -46.18{col 46}{space 3}0.000{col 54}{space 4}-.1260833{col 67}{space 3}-.1154835
{txt}{space 9}13  {c |}{col 14}{res}{space 2} .0681931{col 26}{space 2}  .015718{col 37}{space 1}    4.34{col 46}{space 3}0.000{col 54}{space 4} .0363454{col 67}{space 3} .1000408
{txt}{space 9}15  {c |}{col 14}{res}{space 2}-.1005449{col 26}{space 2}  .009655{col 37}{space 1}  -10.41{col 46}{space 3}0.000{col 54}{space 4}-.1201077{col 67}{space 3}-.0809821
{txt}{space 9}16  {c |}{col 14}{res}{space 2} .0176095{col 26}{space 2} .0357408{col 37}{space 1}    0.49{col 46}{space 3}0.625{col 54}{space 4}-.0548084{col 67}{space 3} .0900273
{txt}{space 9}17  {c |}{col 14}{res}{space 2} .0558979{col 26}{space 2} .0121673{col 37}{space 1}    4.59{col 46}{space 3}0.000{col 54}{space 4} .0312447{col 67}{space 3} .0805511
{txt}{space 9}19  {c |}{col 14}{res}{space 2} -.004633{col 26}{space 2} .0315691{col 37}{space 1}   -0.15{col 46}{space 3}0.884{col 54}{space 4} -.068598{col 67}{space 3}  .059332
{txt}{space 9}21  {c |}{col 14}{res}{space 2} .0152519{col 26}{space 2} .0057896{col 37}{space 1}    2.63{col 46}{space 3}0.012{col 54}{space 4}  .003521{col 67}{space 3} .0269827
{txt}{space 9}22  {c |}{col 14}{res}{space 2} .0092161{col 26}{space 2} .0142009{col 37}{space 1}    0.65{col 46}{space 3}0.520{col 54}{space 4}-.0195578{col 67}{space 3}   .03799
{txt}{space 9}24  {c |}{col 14}{res}{space 2} -.102339{col 26}{space 2} .0189403{col 37}{space 1}   -5.40{col 46}{space 3}0.000{col 54}{space 4}-.1407158{col 67}{space 3}-.0639623
{txt}{space 9}26  {c |}{col 14}{res}{space 2}-.0568929{col 26}{space 2} .0266137{col 37}{space 1}   -2.14{col 46}{space 3}0.039{col 54}{space 4}-.1108174{col 67}{space 3}-.0029684
{txt}{space 9}28  {c |}{col 14}{res}{space 2}-.0334563{col 26}{space 2} .0149941{col 37}{space 1}   -2.23{col 46}{space 3}0.032{col 54}{space 4}-.0638373{col 67}{space 3}-.0030753
{txt}{space 9}30  {c |}{col 14}{res}{space 2}-.0012373{col 26}{space 2} .0118977{col 37}{space 1}   -0.10{col 46}{space 3}0.918{col 54}{space 4}-.0253443{col 67}{space 3} .0228698
{txt}{space 9}31  {c |}{col 14}{res}{space 2} -.063004{col 26}{space 2}   .07196{col 37}{space 1}   -0.88{col 46}{space 3}0.387{col 54}{space 4}-.2088088{col 67}{space 3} .0828008
{txt}{space 9}32  {c |}{col 14}{res}{space 2}  .047882{col 26}{space 2}  .016699{col 37}{space 1}    2.87{col 46}{space 3}0.007{col 54}{space 4} .0140465{col 67}{space 3} .0817174
{txt}{space 9}33  {c |}{col 14}{res}{space 2}-.0148255{col 26}{space 2} .0404402{col 37}{space 1}   -0.37{col 46}{space 3}0.716{col 54}{space 4}-.0967651{col 67}{space 3} .0671141
{txt}{space 9}34  {c |}{col 14}{res}{space 2} .0028528{col 26}{space 2} .0207086{col 37}{space 1}    0.14{col 46}{space 3}0.891{col 54}{space 4}-.0391069{col 67}{space 3} .0448125
{txt}{space 9}35  {c |}{col 14}{res}{space 2} .0064834{col 26}{space 2} .0416168{col 37}{space 1}    0.16{col 46}{space 3}0.877{col 54}{space 4}-.0778402{col 67}{space 3}  .090807
{txt}{space 9}36  {c |}{col 14}{res}{space 2} .0058019{col 26}{space 2} .0225924{col 37}{space 1}    0.26{col 46}{space 3}0.799{col 54}{space 4}-.0399745{col 67}{space 3} .0515784
{txt}{space 9}37  {c |}{col 14}{res}{space 2}-.0349202{col 26}{space 2} .0289793{col 37}{space 1}   -1.21{col 46}{space 3}0.236{col 54}{space 4}-.0936378{col 67}{space 3} .0237975
{txt}{space 9}38  {c |}{col 14}{res}{space 2}  .022828{col 26}{space 2} .0362515{col 37}{space 1}    0.63{col 46}{space 3}0.533{col 54}{space 4}-.0506246{col 67}{space 3} .0962805
{txt}{space 9}39  {c |}{col 14}{res}{space 2}-.0603024{col 26}{space 2} .0368116{col 37}{space 1}   -1.64{col 46}{space 3}0.110{col 54}{space 4}-.1348898{col 67}{space 3} .0142849
{txt}{space 9}40  {c |}{col 14}{res}{space 2}-.0378375{col 26}{space 2} .0350104{col 37}{space 1}   -1.08{col 46}{space 3}0.287{col 54}{space 4}-.1087752{col 67}{space 3} .0331002
{txt}{space 9}41  {c |}{col 14}{res}{space 2} .0195234{col 26}{space 2} .0390305{col 37}{space 1}    0.50{col 46}{space 3}0.620{col 54}{space 4}-.0595599{col 67}{space 3} .0986066
{txt}{space 9}42  {c |}{col 14}{res}{space 2}-.0989114{col 26}{space 2} .0279496{col 37}{space 1}   -3.54{col 46}{space 3}0.001{col 54}{space 4}-.1555427{col 67}{space 3}-.0422801
{txt}{space 9}43  {c |}{col 14}{res}{space 2}-.0005296{col 26}{space 2} .0257774{col 37}{space 1}   -0.02{col 46}{space 3}0.984{col 54}{space 4}-.0527597{col 67}{space 3} .0517004
{txt}{space 9}44  {c |}{col 14}{res}{space 2}-.0024826{col 26}{space 2} .0363735{col 37}{space 1}   -0.07{col 46}{space 3}0.946{col 54}{space 4}-.0761824{col 67}{space 3} .0712172
{txt}{space 9}45  {c |}{col 14}{res}{space 2}-.1070177{col 26}{space 2} .0207092{col 37}{space 1}   -5.17{col 46}{space 3}0.000{col 54}{space 4}-.1489786{col 67}{space 3}-.0650568
{txt}{space 9}46  {c |}{col 14}{res}{space 2}-.0965917{col 26}{space 2} .0327396{col 37}{space 1}   -2.95{col 46}{space 3}0.005{col 54}{space 4}-.1629285{col 67}{space 3} -.030255
{txt}{space 9}47  {c |}{col 14}{res}{space 2}-.1549386{col 26}{space 2} .0341883{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.2242108{col 67}{space 3}-.0856665
{txt}{space 9}50  {c |}{col 14}{res}{space 2}-.0103421{col 26}{space 2} .0223723{col 37}{space 1}   -0.46{col 46}{space 3}0.647{col 54}{space 4}-.0556726{col 67}{space 3} .0349884
{txt}{space 9}51  {c |}{col 14}{res}{space 2} .4204881{col 26}{space 2} .1716721{col 37}{space 1}    2.45{col 46}{space 3}0.019{col 54}{space 4} .0726474{col 67}{space 3} .7683287
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 1.900284{col 26}{space 2} .1681915{col 37}{space 1}   11.30{col 46}{space 3}0.000{col 54}{space 4} 1.559495{col 67}{space 3} 2.241072
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store m7, title(2000)

. 
. reg ENP_cst c.logdis   vv1million   popmillion i.dummies if south==0&yr<2020&dummies!=48&dummies!=49, cluster(dummies)

{txt}Linear regression                               Number of obs     = {res}    24,631
                                                {txt}{help j_robustsingular:F(2, 37) }         =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0817
                                                {txt}Root MSE          =    {res} .31465

{txt}{ralign 78:(Std. err. adjusted for {res:38} clusters in {res:dummies})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     ENP_cst{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}logdist {c |}{col 14}{res}{space 2} .0298533{col 26}{space 2} .0210919{col 37}{space 1}    1.42{col 46}{space 3}0.165{col 54}{space 4}-.0128828{col 67}{space 3} .0725895
{txt}{space 2}vv1million {c |}{col 14}{res}{space 2}-.0005004{col 26}{space 2} .0147697{col 37}{space 1}   -0.03{col 46}{space 3}0.973{col 54}{space 4}-.0304267{col 67}{space 3} .0294259
{txt}{space 2}popmillion {c |}{col 14}{res}{space 2}-.0063533{col 26}{space 2} .0048248{col 37}{space 1}   -1.32{col 46}{space 3}0.196{col 54}{space 4}-.0161293{col 67}{space 3} .0034227
{txt}{space 12} {c |}
{space 5}dummies {c |}
{space 10}2  {c |}{col 14}{res}{space 2}  .038032{col 26}{space 2} .0519796{col 37}{space 1}    0.73{col 46}{space 3}0.469{col 54}{space 4}-.0672887{col 67}{space 3} .1433527
{txt}{space 10}4  {c |}{col 14}{res}{space 2}  .055556{col 26}{space 2} .0332622{col 37}{space 1}    1.67{col 46}{space 3}0.103{col 54}{space 4}-.0118396{col 67}{space 3} .1229516
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.0354829{col 26}{space 2} .0566969{col 37}{space 1}   -0.63{col 46}{space 3}0.535{col 54}{space 4}-.1503617{col 67}{space 3} .0793959
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .0040132{col 26}{space 2} .0356631{col 37}{space 1}    0.11{col 46}{space 3}0.911{col 54}{space 4}-.0682472{col 67}{space 3} .0762735
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .2172209{col 26}{space 2} .0573462{col 37}{space 1}    3.79{col 46}{space 3}0.001{col 54}{space 4} .1010264{col 67}{space 3} .3334153
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.0710047{col 26}{space 2} .0046096{col 37}{space 1}  -15.40{col 46}{space 3}0.000{col 54}{space 4}-.0803446{col 67}{space 3}-.0616648
{txt}{space 9}12  {c |}{col 14}{res}{space 2} -.131624{col 26}{space 2} .0021327{col 37}{space 1}  -61.72{col 46}{space 3}0.000{col 54}{space 4}-.1359453{col 67}{space 3}-.1273027
{txt}{space 9}13  {c |}{col 14}{res}{space 2} .0592644{col 26}{space 2} .0134331{col 37}{space 1}    4.41{col 46}{space 3}0.000{col 54}{space 4} .0320463{col 67}{space 3} .0864824
{txt}{space 9}15  {c |}{col 14}{res}{space 2}-.1172888{col 26}{space 2} .0083116{col 37}{space 1}  -14.11{col 46}{space 3}0.000{col 54}{space 4}-.1341297{col 67}{space 3}-.1004479
{txt}{space 9}16  {c |}{col 14}{res}{space 2}-.0025707{col 26}{space 2} .0315015{col 37}{space 1}   -0.08{col 46}{space 3}0.935{col 54}{space 4}-.0663988{col 67}{space 3} .0612573
{txt}{space 9}17  {c |}{col 14}{res}{space 2} .0353544{col 26}{space 2} .0112803{col 37}{space 1}    3.13{col 46}{space 3}0.003{col 54}{space 4} .0124984{col 67}{space 3} .0582104
{txt}{space 9}19  {c |}{col 14}{res}{space 2}-.0458643{col 26}{space 2} .0293014{col 37}{space 1}   -1.57{col 46}{space 3}0.126{col 54}{space 4}-.1052345{col 67}{space 3} .0135059
{txt}{space 9}21  {c |}{col 14}{res}{space 2} .0020313{col 26}{space 2} .0048175{col 37}{space 1}    0.42{col 46}{space 3}0.676{col 54}{space 4}-.0077299{col 67}{space 3} .0117925
{txt}{space 9}22  {c |}{col 14}{res}{space 2}-.0225929{col 26}{space 2}  .012644{col 37}{space 1}   -1.79{col 46}{space 3}0.082{col 54}{space 4}-.0482121{col 67}{space 3} .0030263
{txt}{space 9}24  {c |}{col 14}{res}{space 2}-.1205672{col 26}{space 2} .0164886{col 37}{space 1}   -7.31{col 46}{space 3}0.000{col 54}{space 4}-.1539762{col 67}{space 3}-.0871581
{txt}{space 9}26  {c |}{col 14}{res}{space 2}-.0757889{col 26}{space 2}  .024744{col 37}{space 1}   -3.06{col 46}{space 3}0.004{col 54}{space 4} -.125925{col 67}{space 3}-.0256529
{txt}{space 9}28  {c |}{col 14}{res}{space 2}-.0528139{col 26}{space 2} .0124718{col 37}{space 1}   -4.23{col 46}{space 3}0.000{col 54}{space 4}-.0780841{col 67}{space 3}-.0275437
{txt}{space 9}30  {c |}{col 14}{res}{space 2}-.0391065{col 26}{space 2} .0108127{col 37}{space 1}   -3.62{col 46}{space 3}0.001{col 54}{space 4}-.0610152{col 67}{space 3}-.0171978
{txt}{space 9}31  {c |}{col 14}{res}{space 2}-.1102107{col 26}{space 2} .0830087{col 37}{space 1}   -1.33{col 46}{space 3}0.192{col 54}{space 4}-.2784023{col 67}{space 3} .0579809
{txt}{space 9}32  {c |}{col 14}{res}{space 2} .0210772{col 26}{space 2} .0143035{col 37}{space 1}    1.47{col 46}{space 3}0.149{col 54}{space 4}-.0079043{col 67}{space 3} .0500588
{txt}{space 9}33  {c |}{col 14}{res}{space 2}-.0622724{col 26}{space 2} .0322713{col 37}{space 1}   -1.93{col 46}{space 3}0.061{col 54}{space 4}-.1276602{col 67}{space 3} .0031154
{txt}{space 9}34  {c |}{col 14}{res}{space 2}-.0321604{col 26}{space 2} .0169196{col 37}{space 1}   -1.90{col 46}{space 3}0.065{col 54}{space 4}-.0664428{col 67}{space 3}  .002122
{txt}{space 9}35  {c |}{col 14}{res}{space 2}-.0021324{col 26}{space 2} .0323994{col 37}{space 1}   -0.07{col 46}{space 3}0.948{col 54}{space 4}-.0677799{col 67}{space 3}  .063515
{txt}{space 9}36  {c |}{col 14}{res}{space 2}-.0419519{col 26}{space 2} .0184143{col 37}{space 1}   -2.28{col 46}{space 3}0.029{col 54}{space 4}-.0792627{col 67}{space 3} -.004641
{txt}{space 9}37  {c |}{col 14}{res}{space 2}-.0563029{col 26}{space 2}  .022782{col 37}{space 1}   -2.47{col 46}{space 3}0.018{col 54}{space 4}-.1024635{col 67}{space 3}-.0101423
{txt}{space 9}38  {c |}{col 14}{res}{space 2}-.0078173{col 26}{space 2} .0294817{col 37}{space 1}   -0.27{col 46}{space 3}0.792{col 54}{space 4}-.0675528{col 67}{space 3} .0519183
{txt}{space 9}39  {c |}{col 14}{res}{space 2}-.1151337{col 26}{space 2} .0295598{col 37}{space 1}   -3.89{col 46}{space 3}0.000{col 54}{space 4}-.1750275{col 67}{space 3}-.0552399
{txt}{space 9}40  {c |}{col 14}{res}{space 2}-.0619814{col 26}{space 2} .0284539{col 37}{space 1}   -2.18{col 46}{space 3}0.036{col 54}{space 4}-.1196344{col 67}{space 3}-.0043284
{txt}{space 9}41  {c |}{col 14}{res}{space 2}-.0308363{col 26}{space 2} .0314534{col 37}{space 1}   -0.98{col 46}{space 3}0.333{col 54}{space 4}-.0945669{col 67}{space 3} .0328943
{txt}{space 9}42  {c |}{col 14}{res}{space 2}-.1169874{col 26}{space 2} .0226938{col 37}{space 1}   -5.16{col 46}{space 3}0.000{col 54}{space 4}-.1629694{col 67}{space 3}-.0710055
{txt}{space 9}43  {c |}{col 14}{res}{space 2}-.0335332{col 26}{space 2} .0210277{col 37}{space 1}   -1.59{col 46}{space 3}0.119{col 54}{space 4}-.0761395{col 67}{space 3}  .009073
{txt}{space 9}44  {c |}{col 14}{res}{space 2}-.0444296{col 26}{space 2}  .028755{col 37}{space 1}   -1.55{col 46}{space 3}0.131{col 54}{space 4}-.1026928{col 67}{space 3} .0138336
{txt}{space 9}45  {c |}{col 14}{res}{space 2}-.1419137{col 26}{space 2} .0170832{col 37}{space 1}   -8.31{col 46}{space 3}0.000{col 54}{space 4}-.1765276{col 67}{space 3}-.1072999
{txt}{space 9}46  {c |}{col 14}{res}{space 2}-.1186287{col 26}{space 2} .0260741{col 37}{space 1}   -4.55{col 46}{space 3}0.000{col 54}{space 4}  -.17146{col 67}{space 3}-.0657975
{txt}{space 9}47  {c |}{col 14}{res}{space 2}-.1467188{col 26}{space 2} .0266007{col 37}{space 1}   -5.52{col 46}{space 3}0.000{col 54}{space 4} -.200617{col 67}{space 3}-.0928207
{txt}{space 9}50  {c |}{col 14}{res}{space 2}-.0257117{col 26}{space 2} .0181819{col 37}{space 1}   -1.41{col 46}{space 3}0.166{col 54}{space 4}-.0625518{col 67}{space 3} .0111283
{txt}{space 9}51  {c |}{col 14}{res}{space 2} .5014932{col 26}{space 2} .1397762{col 37}{space 1}    3.59{col 46}{space 3}0.001{col 54}{space 4} .2182797{col 67}{space 3} .7847067
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 1.818342{col 26}{space 2} .1363193{col 37}{space 1}   13.34{col 46}{space 3}0.000{col 54}{space 4} 1.542133{col 67}{space 3} 2.094552
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store m8, title(2016)

. 
. estout m1 m2 m3 m4 m5 m6 m7 m8 using TableA2_The_Effect_of_Distance_on_the_Number_of_Parties_with_Non_South.text, cells(b(star fmt(4)) se(par fmt(5)))legend label varlabels(_cons Constant)
{res}{txt}(output written to {browse  `"TableA2_The_Effect_of_Distance_on_the_Number_of_Parties_with_Non_South.text"'})

{com}. 
. 
. 
. *Table A3

. 
. reg ENP_cst c.logdis   vv1million    popmillion i.dummies if yr>1849&yr<1875&dummies<32, cluster(dummies)

{txt}Linear regression                               Number of obs     = {res}     2,854
                                                {txt}{help j_robustsingular:F(2, 30) }         =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.1462
                                                {txt}Root MSE          =    {res}  .2985

{txt}{ralign 78:(Std. err. adjusted for {res:31} clusters in {res:dummies})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     ENP_cst{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}logdist {c |}{col 14}{res}{space 2} -.000603{col 26}{space 2} .0185601{col 37}{space 1}   -0.03{col 46}{space 3}0.974{col 54}{space 4}-.0385078{col 67}{space 3} .0373018
{txt}{space 2}vv1million {c |}{col 14}{res}{space 2} .3260065{col 26}{space 2} .2213846{col 37}{space 1}    1.47{col 46}{space 3}0.151{col 54}{space 4}-.1261212{col 67}{space 3} .7781341
{txt}{space 2}popmillion {c |}{col 14}{res}{space 2}-.1168545{col 26}{space 2} .0591656{col 37}{space 1}   -1.98{col 46}{space 3}0.058{col 54}{space 4}-.2376868{col 67}{space 3} .0039779
{txt}{space 12} {c |}
{space 5}dummies {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .2576558{col 26}{space 2} .1378962{col 37}{space 1}    1.87{col 46}{space 3}0.071{col 54}{space 4}-.0239658{col 67}{space 3} .5392773
{txt}{space 10}3  {c |}{col 14}{res}{space 2} -.223038{col 26}{space 2} .0215073{col 37}{space 1}  -10.37{col 46}{space 3}0.000{col 54}{space 4}-.2669618{col 67}{space 3}-.1791141
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.0193241{col 26}{space 2} .0376073{col 37}{space 1}   -0.51{col 46}{space 3}0.611{col 54}{space 4}-.0961285{col 67}{space 3} .0574804
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.0441684{col 26}{space 2} .0445663{col 37}{space 1}   -0.99{col 46}{space 3}0.330{col 54}{space 4}-.1351849{col 67}{space 3} .0468482
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.0908948{col 26}{space 2} .0397605{col 37}{space 1}   -2.29{col 46}{space 3}0.029{col 54}{space 4}-.1720966{col 67}{space 3} -.009693
{txt}{space 10}7  {c |}{col 14}{res}{space 2}  .050588{col 26}{space 2} .0192713{col 37}{space 1}    2.63{col 46}{space 3}0.014{col 54}{space 4} .0112308{col 67}{space 3} .0899452
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .4622981{col 26}{space 2} .1940421{col 37}{space 1}    2.38{col 46}{space 3}0.024{col 54}{space 4} .0660112{col 67}{space 3}  .858585
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .0399319{col 26}{space 2} .0547479{col 37}{space 1}    0.73{col 46}{space 3}0.471{col 54}{space 4}-.0718781{col 67}{space 3}  .151742
{txt}{space 9}10  {c |}{col 14}{res}{space 2}-.2477142{col 26}{space 2} .0345185{col 37}{space 1}   -7.18{col 46}{space 3}0.000{col 54}{space 4}-.3182103{col 67}{space 3}-.1772181
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.1999784{col 26}{space 2} .0107451{col 37}{space 1}  -18.61{col 46}{space 3}0.000{col 54}{space 4}-.2219229{col 67}{space 3} -.178034
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.2048804{col 26}{space 2} .0027768{col 37}{space 1}  -73.78{col 46}{space 3}0.000{col 54}{space 4}-.2105513{col 67}{space 3}-.1992094
{txt}{space 9}13  {c |}{col 14}{res}{space 2} .0154669{col 26}{space 2} .0071845{col 37}{space 1}    2.15{col 46}{space 3}0.039{col 54}{space 4} .0007942{col 67}{space 3} .0301396
{txt}{space 9}14  {c |}{col 14}{res}{space 2}-.1096872{col 26}{space 2} .0496127{col 37}{space 1}   -2.21{col 46}{space 3}0.035{col 54}{space 4}-.2110098{col 67}{space 3}-.0083646
{txt}{space 9}15  {c |}{col 14}{res}{space 2}-.1125022{col 26}{space 2} .0484781{col 37}{space 1}   -2.32{col 46}{space 3}0.027{col 54}{space 4}-.2115076{col 67}{space 3}-.0134967
{txt}{space 9}16  {c |}{col 14}{res}{space 2} .2202572{col 26}{space 2} .1126346{col 37}{space 1}    1.96{col 46}{space 3}0.060{col 54}{space 4}-.0097733{col 67}{space 3} .4502877
{txt}{space 9}17  {c |}{col 14}{res}{space 2} .0887258{col 26}{space 2} .0588572{col 37}{space 1}    1.51{col 46}{space 3}0.142{col 54}{space 4}-.0314767{col 67}{space 3} .2089283
{txt}{space 9}18  {c |}{col 14}{res}{space 2}-.2198237{col 26}{space 2} .0299543{col 37}{space 1}   -7.34{col 46}{space 3}0.000{col 54}{space 4}-.2809986{col 67}{space 3}-.1586488
{txt}{space 9}19  {c |}{col 14}{res}{space 2} .1105711{col 26}{space 2} .0875558{col 37}{space 1}    1.26{col 46}{space 3}0.216{col 54}{space 4}-.0682417{col 67}{space 3} .2893839
{txt}{space 9}20  {c |}{col 14}{res}{space 2} -.197964{col 26}{space 2} .0392552{col 37}{space 1}   -5.04{col 46}{space 3}0.000{col 54}{space 4}-.2781338{col 67}{space 3}-.1177942
{txt}{space 9}21  {c |}{col 14}{res}{space 2} .0224839{col 26}{space 2}  .020208{col 37}{space 1}    1.11{col 46}{space 3}0.275{col 54}{space 4}-.0187863{col 67}{space 3} .0637542
{txt}{space 9}22  {c |}{col 14}{res}{space 2} .1591874{col 26}{space 2}  .059455{col 37}{space 1}    2.68{col 46}{space 3}0.012{col 54}{space 4}  .037764{col 67}{space 3} .2806108
{txt}{space 9}23  {c |}{col 14}{res}{space 2}-.1378267{col 26}{space 2} .0293218{col 37}{space 1}   -4.70{col 46}{space 3}0.000{col 54}{space 4}-.1977097{col 67}{space 3}-.0779436
{txt}{space 9}24  {c |}{col 14}{res}{space 2} .0277878{col 26}{space 2} .0510067{col 37}{space 1}    0.54{col 46}{space 3}0.590{col 54}{space 4}-.0763817{col 67}{space 3} .1319574
{txt}{space 9}25  {c |}{col 14}{res}{space 2}-.3102854{col 26}{space 2} .0162614{col 37}{space 1}  -19.08{col 46}{space 3}0.000{col 54}{space 4}-.3434956{col 67}{space 3}-.2770752
{txt}{space 9}26  {c |}{col 14}{res}{space 2} .0207428{col 26}{space 2} .0308169{col 37}{space 1}    0.67{col 46}{space 3}0.506{col 54}{space 4}-.0421937{col 67}{space 3} .0836792
{txt}{space 9}27  {c |}{col 14}{res}{space 2}-.0528602{col 26}{space 2} .0111422{col 37}{space 1}   -4.74{col 46}{space 3}0.000{col 54}{space 4}-.0756157{col 67}{space 3}-.0301047
{txt}{space 9}28  {c |}{col 14}{res}{space 2}-.0382181{col 26}{space 2} .0369595{col 37}{space 1}   -1.03{col 46}{space 3}0.309{col 54}{space 4}-.1136994{col 67}{space 3} .0372632
{txt}{space 9}29  {c |}{col 14}{res}{space 2}-.4142699{col 26}{space 2} .0301621{col 37}{space 1}  -13.73{col 46}{space 3}0.000{col 54}{space 4}-.4758691{col 67}{space 3}-.3526707
{txt}{space 9}30  {c |}{col 14}{res}{space 2} .0018745{col 26}{space 2} .0317339{col 37}{space 1}    0.06{col 46}{space 3}0.953{col 54}{space 4}-.0629347{col 67}{space 3} .0666837
{txt}{space 9}31  {c |}{col 14}{res}{space 2} .0849195{col 26}{space 2} .0391415{col 37}{space 1}    2.17{col 46}{space 3}0.038{col 54}{space 4} .0049818{col 67}{space 3} .1648572
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 2.044613{col 26}{space 2} .1329511{col 37}{space 1}   15.38{col 46}{space 3}0.000{col 54}{space 4} 1.773091{col 67}{space 3} 2.316136
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store m1, title(1875)

. 
. reg ENP_cst c.logdis   vv1million  popmillion  i.dummies if yr>1849&yr<1900&dummies<32, cluster(dummies)

{txt}Linear regression                               Number of obs     = {res}     6,459
                                                {txt}{help j_robustsingular:F(2, 30) }         =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.1621
                                                {txt}Root MSE          =    {res} .29881

{txt}{ralign 78:(Std. err. adjusted for {res:31} clusters in {res:dummies})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     ENP_cst{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}logdist {c |}{col 14}{res}{space 2} .0402309{col 26}{space 2} .0115404{col 37}{space 1}    3.49{col 46}{space 3}0.002{col 54}{space 4} .0166624{col 67}{space 3} .0637995
{txt}{space 2}vv1million {c |}{col 14}{res}{space 2} .1545317{col 26}{space 2} .1063487{col 37}{space 1}    1.45{col 46}{space 3}0.157{col 54}{space 4}-.0626615{col 67}{space 3} .3717248
{txt}{space 2}popmillion {c |}{col 14}{res}{space 2} .0217343{col 26}{space 2} .0244262{col 37}{space 1}    0.89{col 46}{space 3}0.381{col 54}{space 4}-.0281506{col 67}{space 3} .0716191
{txt}{space 12} {c |}
{space 5}dummies {c |}
{space 10}2  {c |}{col 14}{res}{space 2} -.058204{col 26}{space 2}  .079124{col 37}{space 1}   -0.74{col 46}{space 3}0.468{col 54}{space 4}-.2197969{col 67}{space 3} .1033889
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.4967039{col 26}{space 2} .0149872{col 37}{space 1}  -33.14{col 46}{space 3}0.000{col 54}{space 4}-.5273118{col 67}{space 3}-.4660961
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0614499{col 26}{space 2} .0205608{col 37}{space 1}    2.99{col 46}{space 3}0.006{col 54}{space 4} .0194591{col 67}{space 3} .1034407
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.3158935{col 26}{space 2} .0272038{col 37}{space 1}  -11.61{col 46}{space 3}0.000{col 54}{space 4}-.3714512{col 67}{space 3}-.2603358
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .0196755{col 26}{space 2} .0256086{col 37}{space 1}    0.77{col 46}{space 3}0.448{col 54}{space 4}-.0326243{col 67}{space 3} .0719753
{txt}{space 10}7  {c |}{col 14}{res}{space 2}  .083206{col 26}{space 2} .0160168{col 37}{space 1}    5.19{col 46}{space 3}0.000{col 54}{space 4} .0504953{col 67}{space 3} .1159167
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.0405163{col 26}{space 2} .0996881{col 37}{space 1}   -0.41{col 46}{space 3}0.687{col 54}{space 4}-.2441065{col 67}{space 3} .1630739
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.0556558{col 26}{space 2} .0264418{col 37}{space 1}   -2.10{col 46}{space 3}0.044{col 54}{space 4}-.1096572{col 67}{space 3}-.0016544
{txt}{space 9}10  {c |}{col 14}{res}{space 2}-.1578752{col 26}{space 2} .0200935{col 37}{space 1}   -7.86{col 46}{space 3}0.000{col 54}{space 4}-.1989115{col 67}{space 3}-.1168389
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.1184457{col 26}{space 2} .0038328{col 37}{space 1}  -30.90{col 46}{space 3}0.000{col 54}{space 4}-.1262733{col 67}{space 3}-.1106181
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.2571508{col 26}{space 2} .0013231{col 37}{space 1} -194.35{col 46}{space 3}0.000{col 54}{space 4}-.2598529{col 67}{space 3}-.2544486
{txt}{space 9}13  {c |}{col 14}{res}{space 2} .0242393{col 26}{space 2} .0055132{col 37}{space 1}    4.40{col 46}{space 3}0.000{col 54}{space 4} .0129799{col 67}{space 3} .0354987
{txt}{space 9}14  {c |}{col 14}{res}{space 2}-.1963171{col 26}{space 2} .0265868{col 37}{space 1}   -7.38{col 46}{space 3}0.000{col 54}{space 4}-.2506147{col 67}{space 3}-.1420196
{txt}{space 9}15  {c |}{col 14}{res}{space 2}-.1488744{col 26}{space 2} .0262917{col 37}{space 1}   -5.66{col 46}{space 3}0.000{col 54}{space 4}-.2025692{col 67}{space 3}-.0951796
{txt}{space 9}16  {c |}{col 14}{res}{space 2}-.0295344{col 26}{space 2} .0584996{col 37}{space 1}   -0.50{col 46}{space 3}0.617{col 54}{space 4}-.1490066{col 67}{space 3} .0899378
{txt}{space 9}17  {c |}{col 14}{res}{space 2}-.0124949{col 26}{space 2} .0334618{col 37}{space 1}   -0.37{col 46}{space 3}0.711{col 54}{space 4} -.080833{col 67}{space 3} .0558432
{txt}{space 9}18  {c |}{col 14}{res}{space 2}-.4095702{col 26}{space 2} .0209396{col 37}{space 1}  -19.56{col 46}{space 3}0.000{col 54}{space 4}-.4523345{col 67}{space 3} -.366806
{txt}{space 9}19  {c |}{col 14}{res}{space 2}-.0421161{col 26}{space 2} .0597262{col 37}{space 1}   -0.71{col 46}{space 3}0.486{col 54}{space 4}-.1640932{col 67}{space 3}  .079861
{txt}{space 9}20  {c |}{col 14}{res}{space 2}-.3144636{col 26}{space 2} .0224036{col 37}{space 1}  -14.04{col 46}{space 3}0.000{col 54}{space 4}-.3602179{col 67}{space 3}-.2687092
{txt}{space 9}21  {c |}{col 14}{res}{space 2}-.0273052{col 26}{space 2} .0087206{col 37}{space 1}   -3.13{col 46}{space 3}0.004{col 54}{space 4}-.0451149{col 67}{space 3}-.0094954
{txt}{space 9}22  {c |}{col 14}{res}{space 2}  .005971{col 26}{space 2} .0417695{col 37}{space 1}    0.14{col 46}{space 3}0.887{col 54}{space 4}-.0793337{col 67}{space 3} .0912757
{txt}{space 9}23  {c |}{col 14}{res}{space 2}-.3426795{col 26}{space 2} .0191986{col 37}{space 1}  -17.85{col 46}{space 3}0.000{col 54}{space 4}-.3818882{col 67}{space 3}-.3034707
{txt}{space 9}24  {c |}{col 14}{res}{space 2} -.061146{col 26}{space 2} .0296731{col 37}{space 1}   -2.06{col 46}{space 3}0.048{col 54}{space 4}-.1217466{col 67}{space 3}-.0005454
{txt}{space 9}25  {c |}{col 14}{res}{space 2}-.3340917{col 26}{space 2} .0159256{col 37}{space 1}  -20.98{col 46}{space 3}0.000{col 54}{space 4}-.3666161{col 67}{space 3}-.3015672
{txt}{space 9}26  {c |}{col 14}{res}{space 2} .0501859{col 26}{space 2} .0278105{col 37}{space 1}    1.80{col 46}{space 3}0.081{col 54}{space 4}-.0066108{col 67}{space 3} .1069826
{txt}{space 9}27  {c |}{col 14}{res}{space 2}-.1912784{col 26}{space 2} .0068406{col 37}{space 1}  -27.96{col 46}{space 3}0.000{col 54}{space 4}-.2052487{col 67}{space 3} -.177308
{txt}{space 9}28  {c |}{col 14}{res}{space 2}-.0542959{col 26}{space 2} .0303312{col 37}{space 1}   -1.79{col 46}{space 3}0.084{col 54}{space 4}-.1162404{col 67}{space 3} .0076487
{txt}{space 9}29  {c |}{col 14}{res}{space 2}-.3212066{col 26}{space 2} .0355429{col 37}{space 1}   -9.04{col 46}{space 3}0.000{col 54}{space 4} -.393795{col 67}{space 3}-.2486182
{txt}{space 9}30  {c |}{col 14}{res}{space 2}-.0021719{col 26}{space 2} .0237902{col 37}{space 1}   -0.09{col 46}{space 3}0.928{col 54}{space 4}-.0507581{col 67}{space 3} .0464142
{txt}{space 9}31  {c |}{col 14}{res}{space 2} .1163967{col 26}{space 2} .0260951{col 37}{space 1}    4.46{col 46}{space 3}0.000{col 54}{space 4} .0631033{col 67}{space 3}   .16969
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 1.762736{col 26}{space 2} .0773067{col 37}{space 1}   22.80{col 46}{space 3}0.000{col 54}{space 4} 1.604854{col 67}{space 3} 1.920617
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store m2, title(1900)

. 
. reg ENP_cst c.logdis   vv1million    popmillion i.dummies if yr>1849&yr<1925&dummies<32, cluster(dummies)

{txt}Linear regression                               Number of obs     = {res}    10,751
                                                {txt}{help j_robustsingular:F(2, 30) }         =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.2438
                                                {txt}Root MSE          =    {res} .34653

{txt}{ralign 78:(Std. err. adjusted for {res:31} clusters in {res:dummies})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     ENP_cst{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}logdist {c |}{col 14}{res}{space 2}  .038687{col 26}{space 2} .0179317{col 37}{space 1}    2.16{col 46}{space 3}0.039{col 54}{space 4} .0020656{col 67}{space 3} .0753085
{txt}{space 2}vv1million {c |}{col 14}{res}{space 2} .0874335{col 26}{space 2} .0335136{col 37}{space 1}    2.61{col 46}{space 3}0.014{col 54}{space 4} .0189897{col 67}{space 3} .1558773
{txt}{space 2}popmillion {c |}{col 14}{res}{space 2}  .011292{col 26}{space 2} .0125383{col 37}{space 1}    0.90{col 46}{space 3}0.375{col 54}{space 4}-.0143146{col 67}{space 3} .0368985
{txt}{space 12} {c |}
{space 5}dummies {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0387559{col 26}{space 2} .0579636{col 37}{space 1}    0.67{col 46}{space 3}0.509{col 54}{space 4}-.0796217{col 67}{space 3} .1571334
{txt}{space 10}3  {c |}{col 14}{res}{space 2} -.667047{col 26}{space 2} .0100961{col 37}{space 1}  -66.07{col 46}{space 3}0.000{col 54}{space 4} -.687666{col 67}{space 3}-.6464279
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .1153829{col 26}{space 2} .0293746{col 37}{space 1}    3.93{col 46}{space 3}0.000{col 54}{space 4} .0553921{col 67}{space 3} .1753738
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.4399043{col 26}{space 2} .0186914{col 37}{space 1}  -23.54{col 46}{space 3}0.000{col 54}{space 4}-.4780773{col 67}{space 3}-.4017313
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .0636065{col 26}{space 2} .0420699{col 37}{space 1}    1.51{col 46}{space 3}0.141{col 54}{space 4}-.0223117{col 67}{space 3} .1495248
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .0983382{col 26}{space 2} .0211381{col 37}{space 1}    4.65{col 46}{space 3}0.000{col 54}{space 4} .0551684{col 67}{space 3} .1415081
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .0337421{col 26}{space 2} .0709241{col 37}{space 1}    0.48{col 46}{space 3}0.638{col 54}{space 4}-.1111042{col 67}{space 3} .1785885
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.1832042{col 26}{space 2} .0287655{col 37}{space 1}   -6.37{col 46}{space 3}0.000{col 54}{space 4}-.2419511{col 67}{space 3}-.1244573
{txt}{space 9}10  {c |}{col 14}{res}{space 2} -.186516{col 26}{space 2} .0161077{col 37}{space 1}  -11.58{col 46}{space 3}0.000{col 54}{space 4}-.2194122{col 67}{space 3}-.1536197
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.0523666{col 26}{space 2}   .00367{col 37}{space 1}  -14.27{col 46}{space 3}0.000{col 54}{space 4}-.0598617{col 67}{space 3}-.0448716
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.2562655{col 26}{space 2}  .002524{col 37}{space 1} -101.53{col 46}{space 3}0.000{col 54}{space 4}-.2614202{col 67}{space 3}-.2511109
{txt}{space 9}13  {c |}{col 14}{res}{space 2} .0690773{col 26}{space 2} .0078557{col 37}{space 1}    8.79{col 46}{space 3}0.000{col 54}{space 4} .0530339{col 67}{space 3} .0851207
{txt}{space 9}14  {c |}{col 14}{res}{space 2}-.2862313{col 26}{space 2} .0181389{col 37}{space 1}  -15.78{col 46}{space 3}0.000{col 54}{space 4}-.3232758{col 67}{space 3}-.2491868
{txt}{space 9}15  {c |}{col 14}{res}{space 2}-.1174745{col 26}{space 2} .0170554{col 37}{space 1}   -6.89{col 46}{space 3}0.000{col 54}{space 4}-.1523063{col 67}{space 3}-.0826427
{txt}{space 9}16  {c |}{col 14}{res}{space 2} .0106616{col 26}{space 2} .0380783{col 37}{space 1}    0.28{col 46}{space 3}0.781{col 54}{space 4}-.0671047{col 67}{space 3} .0884279
{txt}{space 9}17  {c |}{col 14}{res}{space 2}  .061355{col 26}{space 2} .0216273{col 37}{space 1}    2.84{col 46}{space 3}0.008{col 54}{space 4} .0171861{col 67}{space 3} .1055239
{txt}{space 9}18  {c |}{col 14}{res}{space 2}-.5492877{col 26}{space 2} .0182318{col 37}{space 1}  -30.13{col 46}{space 3}0.000{col 54}{space 4} -.586522{col 67}{space 3}-.5120533
{txt}{space 9}19  {c |}{col 14}{res}{space 2} .0126034{col 26}{space 2} .0466266{col 37}{space 1}    0.27{col 46}{space 3}0.789{col 54}{space 4}-.0826209{col 67}{space 3} .1078276
{txt}{space 9}20  {c |}{col 14}{res}{space 2}-.4209944{col 26}{space 2} .0183111{col 37}{space 1}  -22.99{col 46}{space 3}0.000{col 54}{space 4}-.4583907{col 67}{space 3}-.3835981
{txt}{space 9}21  {c |}{col 14}{res}{space 2}-.0218055{col 26}{space 2} .0065914{col 37}{space 1}   -3.31{col 46}{space 3}0.002{col 54}{space 4}-.0352669{col 67}{space 3}-.0083441
{txt}{space 9}22  {c |}{col 14}{res}{space 2}-.0002789{col 26}{space 2} .0313047{col 37}{space 1}   -0.01{col 46}{space 3}0.993{col 54}{space 4}-.0642115{col 67}{space 3} .0636538
{txt}{space 9}23  {c |}{col 14}{res}{space 2}-.5397157{col 26}{space 2} .0203718{col 37}{space 1}  -26.49{col 46}{space 3}0.000{col 54}{space 4}-.5813205{col 67}{space 3}-.4981108
{txt}{space 9}24  {c |}{col 14}{res}{space 2}-.0465125{col 26}{space 2} .0237177{col 37}{space 1}   -1.96{col 46}{space 3}0.059{col 54}{space 4}-.0949505{col 67}{space 3} .0019255
{txt}{space 9}25  {c |}{col 14}{res}{space 2}-.4076533{col 26}{space 2} .0184184{col 37}{space 1}  -22.13{col 46}{space 3}0.000{col 54}{space 4}-.4452688{col 67}{space 3}-.3700379
{txt}{space 9}26  {c |}{col 14}{res}{space 2}-.0088159{col 26}{space 2}  .022199{col 37}{space 1}   -0.40{col 46}{space 3}0.694{col 54}{space 4}-.0541523{col 67}{space 3} .0365204
{txt}{space 9}27  {c |}{col 14}{res}{space 2}-.4557742{col 26}{space 2} .0108744{col 37}{space 1}  -41.91{col 46}{space 3}0.000{col 54}{space 4}-.4779826{col 67}{space 3}-.4335658
{txt}{space 9}28  {c |}{col 14}{res}{space 2}-.0702677{col 26}{space 2} .0245152{col 37}{space 1}   -2.87{col 46}{space 3}0.008{col 54}{space 4}-.1203345{col 67}{space 3}-.0202009
{txt}{space 9}29  {c |}{col 14}{res}{space 2}-.5722922{col 26}{space 2} .0396584{col 37}{space 1}  -14.43{col 46}{space 3}0.000{col 54}{space 4}-.6532854{col 67}{space 3}-.4912989
{txt}{space 9}30  {c |}{col 14}{res}{space 2}-.0057735{col 26}{space 2} .0209422{col 37}{space 1}   -0.28{col 46}{space 3}0.785{col 54}{space 4}-.0485431{col 67}{space 3} .0369962
{txt}{space 9}31  {c |}{col 14}{res}{space 2}-.0348367{col 26}{space 2} .0381249{col 37}{space 1}   -0.91{col 46}{space 3}0.368{col 54}{space 4}-.1126981{col 67}{space 3} .0430247
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 1.777334{col 26}{space 2} .1181749{col 37}{space 1}   15.04{col 46}{space 3}0.000{col 54}{space 4} 1.535989{col 67}{space 3}  2.01868
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store m3, title(1925)

. 
. reg ENP_cst c.logdis   vv1million    popmillion i.dummies if yr>1849&yr<1950&dummies<32, cluster(dummies)

{txt}Linear regression                               Number of obs     = {res}    14,597
                                                {txt}{help j_robustsingular:F(2, 30) }         =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.2663
                                                {txt}Root MSE          =    {res} .34415

{txt}{ralign 78:(Std. err. adjusted for {res:31} clusters in {res:dummies})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     ENP_cst{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}logdist {c |}{col 14}{res}{space 2} .0304106{col 26}{space 2} .0212494{col 37}{space 1}    1.43{col 46}{space 3}0.163{col 54}{space 4}-.0129866{col 67}{space 3} .0738077
{txt}{space 2}vv1million {c |}{col 14}{res}{space 2} .0223297{col 26}{space 2} .0113227{col 37}{space 1}    1.97{col 46}{space 3}0.058{col 54}{space 4}-.0007943{col 67}{space 3} .0454538
{txt}{space 2}popmillion {c |}{col 14}{res}{space 2} -.016066{col 26}{space 2} .0139089{col 37}{space 1}   -1.16{col 46}{space 3}0.257{col 54}{space 4}-.0444719{col 67}{space 3} .0123398
{txt}{space 12} {c |}
{space 5}dummies {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .1535789{col 26}{space 2}  .095737{col 37}{space 1}    1.60{col 46}{space 3}0.119{col 54}{space 4}-.0419422{col 67}{space 3}    .3491
{txt}{space 10}3  {c |}{col 14}{res}{space 2} -.707951{col 26}{space 2} .0130699{col 37}{space 1}  -54.17{col 46}{space 3}0.000{col 54}{space 4}-.7346432{col 67}{space 3}-.6812587
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0995307{col 26}{space 2} .0328358{col 37}{space 1}    3.03{col 46}{space 3}0.005{col 54}{space 4} .0324712{col 67}{space 3} .1665903
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.4561051{col 26}{space 2} .0191151{col 37}{space 1}  -23.86{col 46}{space 3}0.000{col 54}{space 4}-.4951435{col 67}{space 3}-.4170668
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .0533043{col 26}{space 2} .0567919{col 37}{space 1}    0.94{col 46}{space 3}0.355{col 54}{space 4}-.0626803{col 67}{space 3} .1692889
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .0845535{col 26}{space 2} .0424803{col 37}{space 1}    1.99{col 46}{space 3}0.056{col 54}{space 4}-.0022029{col 67}{space 3} .1713099
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .2310493{col 26}{space 2} .1107857{col 37}{space 1}    2.09{col 46}{space 3}0.046{col 54}{space 4} .0047948{col 67}{space 3} .4573039
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.2143102{col 26}{space 2} .0459182{col 37}{space 1}   -4.67{col 46}{space 3}0.000{col 54}{space 4}-.3080877{col 67}{space 3}-.1205327
{txt}{space 9}10  {c |}{col 14}{res}{space 2}-.1716801{col 26}{space 2} .0292284{col 37}{space 1}   -5.87{col 46}{space 3}0.000{col 54}{space 4}-.2313725{col 67}{space 3}-.1119878
{txt}{space 9}11  {c |}{col 14}{res}{space 2} -.038516{col 26}{space 2} .0047682{col 37}{space 1}   -8.08{col 46}{space 3}0.000{col 54}{space 4} -.048254{col 67}{space 3} -.028778
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.2431136{col 26}{space 2} .0026525{col 37}{space 1}  -91.65{col 46}{space 3}0.000{col 54}{space 4}-.2485307{col 67}{space 3}-.2376964
{txt}{space 9}13  {c |}{col 14}{res}{space 2}  .099595{col 26}{space 2} .0148493{col 37}{space 1}    6.71{col 46}{space 3}0.000{col 54}{space 4} .0692688{col 67}{space 3} .1299213
{txt}{space 9}14  {c |}{col 14}{res}{space 2}-.2752182{col 26}{space 2}  .018846{col 37}{space 1}  -14.60{col 46}{space 3}0.000{col 54}{space 4}-.3137069{col 67}{space 3}-.2367296
{txt}{space 9}15  {c |}{col 14}{res}{space 2}-.0730252{col 26}{space 2} .0212134{col 37}{space 1}   -3.44{col 46}{space 3}0.002{col 54}{space 4}-.1163487{col 67}{space 3}-.0297017
{txt}{space 9}16  {c |}{col 14}{res}{space 2} .0875497{col 26}{space 2} .0571384{col 37}{space 1}    1.53{col 46}{space 3}0.136{col 54}{space 4}-.0291425{col 67}{space 3}  .204242
{txt}{space 9}17  {c |}{col 14}{res}{space 2} .0962387{col 26}{space 2} .0256346{col 37}{space 1}    3.75{col 46}{space 3}0.001{col 54}{space 4} .0438859{col 67}{space 3} .1485915
{txt}{space 9}18  {c |}{col 14}{res}{space 2}-.5574358{col 26}{space 2} .0143641{col 37}{space 1}  -38.81{col 46}{space 3}0.000{col 54}{space 4}-.5867712{col 67}{space 3}-.5281004
{txt}{space 9}19  {c |}{col 14}{res}{space 2} .0852314{col 26}{space 2} .0612125{col 37}{space 1}    1.39{col 46}{space 3}0.174{col 54}{space 4}-.0397811{col 67}{space 3} .2102439
{txt}{space 9}20  {c |}{col 14}{res}{space 2}-.4121747{col 26}{space 2} .0161846{col 37}{space 1}  -25.47{col 46}{space 3}0.000{col 54}{space 4} -.445228{col 67}{space 3}-.3791214
{txt}{space 9}21  {c |}{col 14}{res}{space 2}-.0274051{col 26}{space 2}  .005105{col 37}{space 1}   -5.37{col 46}{space 3}0.000{col 54}{space 4} -.037831{col 67}{space 3}-.0169792
{txt}{space 9}22  {c |}{col 14}{res}{space 2} .0391666{col 26}{space 2} .0298601{col 37}{space 1}    1.31{col 46}{space 3}0.200{col 54}{space 4}-.0218158{col 67}{space 3}  .100149
{txt}{space 9}23  {c |}{col 14}{res}{space 2}-.5204711{col 26}{space 2} .0166723{col 37}{space 1}  -31.22{col 46}{space 3}0.000{col 54}{space 4}-.5545204{col 67}{space 3}-.4864218
{txt}{space 9}24  {c |}{col 14}{res}{space 2}-.0257148{col 26}{space 2} .0348984{col 37}{space 1}   -0.74{col 46}{space 3}0.467{col 54}{space 4}-.0969868{col 67}{space 3} .0455573
{txt}{space 9}25  {c |}{col 14}{res}{space 2}-.3904124{col 26}{space 2} .0150201{col 37}{space 1}  -25.99{col 46}{space 3}0.000{col 54}{space 4}-.4210876{col 67}{space 3}-.3597372
{txt}{space 9}26  {c |}{col 14}{res}{space 2}-.0006113{col 26}{space 2} .0358863{col 37}{space 1}   -0.02{col 46}{space 3}0.987{col 54}{space 4} -.073901{col 67}{space 3} .0726783
{txt}{space 9}27  {c |}{col 14}{res}{space 2}-.4699595{col 26}{space 2} .0103091{col 37}{space 1}  -45.59{col 46}{space 3}0.000{col 54}{space 4}-.4910134{col 67}{space 3}-.4489056
{txt}{space 9}28  {c |}{col 14}{res}{space 2}-.0301715{col 26}{space 2} .0205384{col 37}{space 1}   -1.47{col 46}{space 3}0.152{col 54}{space 4}-.0721164{col 67}{space 3} .0117735
{txt}{space 9}29  {c |}{col 14}{res}{space 2}-.5856175{col 26}{space 2} .0421449{col 37}{space 1}  -13.90{col 46}{space 3}0.000{col 54}{space 4}-.6716888{col 67}{space 3}-.4995462
{txt}{space 9}30  {c |}{col 14}{res}{space 2} .0772241{col 26}{space 2} .0208294{col 37}{space 1}    3.71{col 46}{space 3}0.001{col 54}{space 4} .0346847{col 67}{space 3} .1197635
{txt}{space 9}31  {c |}{col 14}{res}{space 2}-.1700502{col 26}{space 2} .0463386{col 37}{space 1}   -3.67{col 46}{space 3}0.001{col 54}{space 4}-.2646862{col 67}{space 3}-.0754142
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 1.828873{col 26}{space 2} .1368792{col 37}{space 1}   13.36{col 46}{space 3}0.000{col 54}{space 4} 1.549328{col 67}{space 3} 2.108417
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store m4, title(1950)

. 
. reg ENP_cst c.logdis   vv1million    popmillion i.dummies if yr>1849&yr<1975&dummies<32, cluster(dummies)

{txt}Linear regression                               Number of obs     = {res}    18,925
                                                {txt}{help j_robustsingular:F(2, 30) }         =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.2620
                                                {txt}Root MSE          =    {res} .33226

{txt}{ralign 78:(Std. err. adjusted for {res:31} clusters in {res:dummies})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     ENP_cst{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}logdist {c |}{col 14}{res}{space 2} .0186674{col 26}{space 2} .0213675{col 37}{space 1}    0.87{col 46}{space 3}0.389{col 54}{space 4}-.0249709{col 67}{space 3} .0623057
{txt}{space 2}vv1million {c |}{col 14}{res}{space 2}  .021711{col 26}{space 2} .0109461{col 37}{space 1}    1.98{col 46}{space 3}0.057{col 54}{space 4}-.0006439{col 67}{space 3} .0440659
{txt}{space 2}popmillion {c |}{col 14}{res}{space 2}-.0130386{col 26}{space 2} .0068086{col 37}{space 1}   -1.92{col 46}{space 3}0.065{col 54}{space 4}-.0269436{col 67}{space 3} .0008664
{txt}{space 12} {c |}
{space 5}dummies {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .1265467{col 26}{space 2} .0640944{col 37}{space 1}    1.97{col 46}{space 3}0.058{col 54}{space 4}-.0043515{col 67}{space 3} .2574449
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.6666396{col 26}{space 2} .0080848{col 37}{space 1}  -82.46{col 46}{space 3}0.000{col 54}{space 4} -.683151{col 67}{space 3}-.6501282
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0861219{col 26}{space 2} .0333748{col 37}{space 1}    2.58{col 46}{space 3}0.015{col 54}{space 4} .0179614{col 67}{space 3} .1542824
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.4814032{col 26}{space 2} .0110544{col 37}{space 1}  -43.55{col 46}{space 3}0.000{col 54}{space 4}-.5039792{col 67}{space 3}-.4588271
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .0135698{col 26}{space 2} .0569783{col 37}{space 1}    0.24{col 46}{space 3}0.813{col 54}{space 4}-.1027953{col 67}{space 3}  .129935
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .0690377{col 26}{space 2} .0371141{col 37}{space 1}    1.86{col 46}{space 3}0.073{col 54}{space 4}-.0067594{col 67}{space 3} .1448348
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .2495657{col 26}{space 2} .0717078{col 37}{space 1}    3.48{col 46}{space 3}0.002{col 54}{space 4} .1031189{col 67}{space 3} .3960126
{txt}{space 10}9  {c |}{col 14}{res}{space 2} -.224427{col 26}{space 2} .0425059{col 37}{space 1}   -5.28{col 46}{space 3}0.000{col 54}{space 4}-.3112355{col 67}{space 3}-.1376184
{txt}{space 9}10  {c |}{col 14}{res}{space 2}-.1546176{col 26}{space 2} .0224852{col 37}{space 1}   -6.88{col 46}{space 3}0.000{col 54}{space 4}-.2005385{col 67}{space 3}-.1086967
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.0397724{col 26}{space 2} .0048955{col 37}{space 1}   -8.12{col 46}{space 3}0.000{col 54}{space 4}-.0497704{col 67}{space 3}-.0297743
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.2066457{col 26}{space 2} .0023761{col 37}{space 1}  -86.97{col 46}{space 3}0.000{col 54}{space 4}-.2114984{col 67}{space 3} -.201793
{txt}{space 9}13  {c |}{col 14}{res}{space 2} .0897705{col 26}{space 2} .0138319{col 37}{space 1}    6.49{col 46}{space 3}0.000{col 54}{space 4} .0615219{col 67}{space 3} .1180191
{txt}{space 9}14  {c |}{col 14}{res}{space 2}-.2719757{col 26}{space 2} .0095257{col 37}{space 1}  -28.55{col 46}{space 3}0.000{col 54}{space 4}-.2914297{col 67}{space 3}-.2525216
{txt}{space 9}15  {c |}{col 14}{res}{space 2}-.0626311{col 26}{space 2} .0113485{col 37}{space 1}   -5.52{col 46}{space 3}0.000{col 54}{space 4}-.0858078{col 67}{space 3}-.0394544
{txt}{space 9}16  {c |}{col 14}{res}{space 2} .0717118{col 26}{space 2} .0380967{col 37}{space 1}    1.88{col 46}{space 3}0.070{col 54}{space 4} -.006092{col 67}{space 3} .1495156
{txt}{space 9}17  {c |}{col 14}{res}{space 2} .0966319{col 26}{space 2}  .013889{col 37}{space 1}    6.96{col 46}{space 3}0.000{col 54}{space 4} .0682668{col 67}{space 3}  .124997
{txt}{space 9}18  {c |}{col 14}{res}{space 2}-.5209763{col 26}{space 2} .0112805{col 37}{space 1}  -46.18{col 46}{space 3}0.000{col 54}{space 4}-.5440141{col 67}{space 3}-.4979384
{txt}{space 9}19  {c |}{col 14}{res}{space 2} .0640643{col 26}{space 2} .0340971{col 37}{space 1}    1.88{col 46}{space 3}0.070{col 54}{space 4}-.0055713{col 67}{space 3} .1336999
{txt}{space 9}20  {c |}{col 14}{res}{space 2}-.3772662{col 26}{space 2} .0085657{col 37}{space 1}  -44.04{col 46}{space 3}0.000{col 54}{space 4}-.3947596{col 67}{space 3}-.3597728
{txt}{space 9}21  {c |}{col 14}{res}{space 2}-.0135516{col 26}{space 2} .0042307{col 37}{space 1}   -3.20{col 46}{space 3}0.003{col 54}{space 4}-.0221917{col 67}{space 3}-.0049114
{txt}{space 9}22  {c |}{col 14}{res}{space 2} .0379185{col 26}{space 2} .0139389{col 37}{space 1}    2.72{col 46}{space 3}0.011{col 54}{space 4} .0094514{col 67}{space 3} .0663856
{txt}{space 9}23  {c |}{col 14}{res}{space 2}-.4658452{col 26}{space 2} .0147018{col 37}{space 1}  -31.69{col 46}{space 3}0.000{col 54}{space 4}-.4958703{col 67}{space 3}  -.43582
{txt}{space 9}24  {c |}{col 14}{res}{space 2}-.0657374{col 26}{space 2} .0211577{col 37}{space 1}   -3.11{col 46}{space 3}0.004{col 54}{space 4}-.1089471{col 67}{space 3}-.0225276
{txt}{space 9}25  {c |}{col 14}{res}{space 2}-.3619106{col 26}{space 2} .0131779{col 37}{space 1}  -27.46{col 46}{space 3}0.000{col 54}{space 4}-.3888234{col 67}{space 3}-.3349977
{txt}{space 9}26  {c |}{col 14}{res}{space 2}-.0098651{col 26}{space 2} .0256697{col 37}{space 1}   -0.38{col 46}{space 3}0.703{col 54}{space 4}-.0622896{col 67}{space 3} .0425593
{txt}{space 9}27  {c |}{col 14}{res}{space 2}-.3582336{col 26}{space 2} .0129993{col 37}{space 1}  -27.56{col 46}{space 3}0.000{col 54}{space 4}-.3847818{col 67}{space 3}-.3316855
{txt}{space 9}28  {c |}{col 14}{res}{space 2}-.0100768{col 26}{space 2} .0121085{col 37}{space 1}   -0.83{col 46}{space 3}0.412{col 54}{space 4}-.0348055{col 67}{space 3}  .014652
{txt}{space 9}29  {c |}{col 14}{res}{space 2}-.5150838{col 26}{space 2} .0256672{col 37}{space 1}  -20.07{col 46}{space 3}0.000{col 54}{space 4}-.5675032{col 67}{space 3}-.4626644
{txt}{space 9}30  {c |}{col 14}{res}{space 2} .0556663{col 26}{space 2} .0109693{col 37}{space 1}    5.07{col 46}{space 3}0.000{col 54}{space 4} .0332639{col 67}{space 3} .0780687
{txt}{space 9}31  {c |}{col 14}{res}{space 2}-.0923542{col 26}{space 2} .0485668{col 37}{space 1}   -1.90{col 46}{space 3}0.067{col 54}{space 4}-.1915409{col 67}{space 3} .0068325
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 1.880283{col 26}{space 2} .1381659{col 37}{space 1}   13.61{col 46}{space 3}0.000{col 54}{space 4} 1.598111{col 67}{space 3} 2.162455
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store m5, title(1975)

. 
. reg ENP_cst c.logdis   vv1million    popmillion i.dummies if yr>1849&yr<2000&dummies<32, cluster(dummies)

{txt}Linear regression                               Number of obs     = {res}    23,120
                                                {txt}{help j_robustsingular:F(2, 30) }         =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.2193
                                                {txt}Root MSE          =    {res} .33775

{txt}{ralign 78:(Std. err. adjusted for {res:31} clusters in {res:dummies})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     ENP_cst{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}logdist {c |}{col 14}{res}{space 2} .0105755{col 26}{space 2} .0220645{col 37}{space 1}    0.48{col 46}{space 3}0.635{col 54}{space 4}-.0344861{col 67}{space 3} .0556372
{txt}{space 2}vv1million {c |}{col 14}{res}{space 2} .0228711{col 26}{space 2} .0125253{col 37}{space 1}    1.83{col 46}{space 3}0.078{col 54}{space 4}-.0027089{col 67}{space 3} .0484511
{txt}{space 2}popmillion {c |}{col 14}{res}{space 2}-.0061533{col 26}{space 2} .0049875{col 37}{space 1}   -1.23{col 46}{space 3}0.227{col 54}{space 4}-.0163392{col 67}{space 3} .0040326
{txt}{space 12} {c |}
{space 5}dummies {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0537651{col 26}{space 2} .0521769{col 37}{space 1}    1.03{col 46}{space 3}0.311{col 54}{space 4}-.0527942{col 67}{space 3} .1603245
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.5774704{col 26}{space 2} .0071894{col 37}{space 1}  -80.32{col 46}{space 3}0.000{col 54}{space 4}-.5921531{col 67}{space 3}-.5627876
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0589782{col 26}{space 2} .0349833{col 37}{space 1}    1.69{col 46}{space 3}0.102{col 54}{space 4}-.0124672{col 67}{space 3} .1304236
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.4335193{col 26}{space 2} .0119648{col 37}{space 1}  -36.23{col 46}{space 3}0.000{col 54}{space 4}-.4579547{col 67}{space 3}-.4090839
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.0470283{col 26}{space 2} .0574531{col 37}{space 1}   -0.82{col 46}{space 3}0.419{col 54}{space 4}-.1643633{col 67}{space 3} .0703066
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .0208458{col 26}{space 2} .0338886{col 37}{space 1}    0.62{col 46}{space 3}0.543{col 54}{space 4} -.048364{col 67}{space 3} .0900556
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .2025921{col 26}{space 2} .0585356{col 37}{space 1}    3.46{col 46}{space 3}0.002{col 54}{space 4} .0830465{col 67}{space 3} .3221377
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.2470002{col 26}{space 2} .0411279{col 37}{space 1}   -6.01{col 46}{space 3}0.000{col 54}{space 4}-.3309947{col 67}{space 3}-.1630058
{txt}{space 9}10  {c |}{col 14}{res}{space 2}-.1514163{col 26}{space 2} .0204369{col 37}{space 1}   -7.41{col 46}{space 3}0.000{col 54}{space 4} -.193154{col 67}{space 3}-.1096785
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.0472593{col 26}{space 2} .0049222{col 37}{space 1}   -9.60{col 46}{space 3}0.000{col 54}{space 4}-.0573118{col 67}{space 3}-.0372067
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.1791826{col 26}{space 2}  .002495{col 37}{space 1}  -71.82{col 46}{space 3}0.000{col 54}{space 4}-.1842781{col 67}{space 3}-.1740871
{txt}{space 9}13  {c |}{col 14}{res}{space 2} .0755739{col 26}{space 2} .0132658{col 37}{space 1}    5.70{col 46}{space 3}0.000{col 54}{space 4} .0484815{col 67}{space 3} .1026662
{txt}{space 9}14  {c |}{col 14}{res}{space 2}-.2794354{col 26}{space 2} .0092886{col 37}{space 1}  -30.08{col 46}{space 3}0.000{col 54}{space 4}-.2984052{col 67}{space 3}-.2604656
{txt}{space 9}15  {c |}{col 14}{res}{space 2}-.0860458{col 26}{space 2} .0088067{col 37}{space 1}   -9.77{col 46}{space 3}0.000{col 54}{space 4}-.1040314{col 67}{space 3}-.0680601
{txt}{space 9}16  {c |}{col 14}{res}{space 2} .0176758{col 26}{space 2} .0319868{col 37}{space 1}    0.55{col 46}{space 3}0.585{col 54}{space 4}  -.04765{col 67}{space 3} .0830017
{txt}{space 9}17  {c |}{col 14}{res}{space 2} .0708333{col 26}{space 2} .0119626{col 37}{space 1}    5.92{col 46}{space 3}0.000{col 54}{space 4} .0464024{col 67}{space 3} .0952642
{txt}{space 9}18  {c |}{col 14}{res}{space 2}-.4492302{col 26}{space 2} .0132023{col 37}{space 1}  -34.03{col 46}{space 3}0.000{col 54}{space 4}-.4761929{col 67}{space 3}-.4222674
{txt}{space 9}19  {c |}{col 14}{res}{space 2}-.0012282{col 26}{space 2} .0295829{col 37}{space 1}   -0.04{col 46}{space 3}0.967{col 54}{space 4}-.0616446{col 67}{space 3} .0591881
{txt}{space 9}20  {c |}{col 14}{res}{space 2}-.3738676{col 26}{space 2} .0100463{col 37}{space 1}  -37.21{col 46}{space 3}0.000{col 54}{space 4}-.3943848{col 67}{space 3}-.3533503
{txt}{space 9}21  {c |}{col 14}{res}{space 2}-.0109749{col 26}{space 2} .0049478{col 37}{space 1}   -2.22{col 46}{space 3}0.034{col 54}{space 4}-.0210796{col 67}{space 3}-.0008703
{txt}{space 9}22  {c |}{col 14}{res}{space 2}   .01903{col 26}{space 2} .0144632{col 37}{space 1}    1.32{col 46}{space 3}0.198{col 54}{space 4}-.0105078{col 67}{space 3} .0485679
{txt}{space 9}23  {c |}{col 14}{res}{space 2}-.4785696{col 26}{space 2} .0169015{col 37}{space 1}  -28.32{col 46}{space 3}0.000{col 54}{space 4} -.513087{col 67}{space 3}-.4440522
{txt}{space 9}24  {c |}{col 14}{res}{space 2}-.1172434{col 26}{space 2} .0170614{col 37}{space 1}   -6.87{col 46}{space 3}0.000{col 54}{space 4}-.1520873{col 67}{space 3}-.0823994
{txt}{space 9}25  {c |}{col 14}{res}{space 2}-.3294334{col 26}{space 2} .0151336{col 37}{space 1}  -21.77{col 46}{space 3}0.000{col 54}{space 4}-.3603403{col 67}{space 3}-.2985266
{txt}{space 9}26  {c |}{col 14}{res}{space 2}-.0571952{col 26}{space 2} .0236615{col 37}{space 1}   -2.42{col 46}{space 3}0.022{col 54}{space 4}-.1055186{col 67}{space 3}-.0088719
{txt}{space 9}27  {c |}{col 14}{res}{space 2}-.2819213{col 26}{space 2} .0269746{col 37}{space 1}  -10.45{col 46}{space 3}0.000{col 54}{space 4}-.3370107{col 67}{space 3}-.2268318
{txt}{space 9}28  {c |}{col 14}{res}{space 2}-.0201234{col 26}{space 2} .0142691{col 37}{space 1}   -1.41{col 46}{space 3}0.169{col 54}{space 4}-.0492648{col 67}{space 3}  .009018
{txt}{space 9}29  {c |}{col 14}{res}{space 2}-.4401399{col 26}{space 2} .0346278{col 37}{space 1}  -12.71{col 46}{space 3}0.000{col 54}{space 4}-.5108594{col 67}{space 3}-.3694205
{txt}{space 9}30  {c |}{col 14}{res}{space 2} .0094635{col 26}{space 2} .0120044{col 37}{space 1}    0.79{col 46}{space 3}0.437{col 54}{space 4}-.0150527{col 67}{space 3} .0339797
{txt}{space 9}31  {c |}{col 14}{res}{space 2}-.0713336{col 26}{space 2} .0691624{col 37}{space 1}   -1.03{col 46}{space 3}0.311{col 54}{space 4} -.212582{col 67}{space 3} .0699148
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 1.920418{col 26}{space 2} .1432375{col 37}{space 1}   13.41{col 46}{space 3}0.000{col 54}{space 4} 1.627888{col 67}{space 3} 2.212948
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store m6, title(2000)

. 
. reg ENP_cst c.logdis   vv1million    popmillion i.dummies if yr>1849&yr<2020&dummies<32, cluster(dummies)

{txt}Linear regression                               Number of obs     = {res}    26,327
                                                {txt}{help j_robustsingular:F(2, 30) }         =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.2071
                                                {txt}Root MSE          =    {res} .33772

{txt}{ralign 78:(Std. err. adjusted for {res:31} clusters in {res:dummies})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     ENP_cst{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}logdist {c |}{col 14}{res}{space 2} .0165819{col 26}{space 2} .0243764{col 37}{space 1}    0.68{col 46}{space 3}0.502{col 54}{space 4}-.0332014{col 67}{space 3} .0663652
{txt}{space 2}vv1million {c |}{col 14}{res}{space 2}  .029659{col 26}{space 2} .0156231{col 37}{space 1}    1.90{col 46}{space 3}0.067{col 54}{space 4}-.0022476{col 67}{space 3} .0615656
{txt}{space 2}popmillion {c |}{col 14}{res}{space 2}-.0027882{col 26}{space 2} .0038548{col 37}{space 1}   -0.72{col 46}{space 3}0.475{col 54}{space 4}-.0106607{col 67}{space 3} .0050843
{txt}{space 12} {c |}
{space 5}dummies {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0090067{col 26}{space 2} .0449442{col 37}{space 1}    0.20{col 46}{space 3}0.843{col 54}{space 4}-.0827817{col 67}{space 3}  .100795
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.5343637{col 26}{space 2} .0065065{col 37}{space 1}  -82.13{col 46}{space 3}0.000{col 54}{space 4}-.5476517{col 67}{space 3}-.5210757
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0475294{col 26}{space 2} .0390309{col 37}{space 1}    1.22{col 46}{space 3}0.233{col 54}{space 4}-.0321824{col 67}{space 3} .1272412
{txt}{space 10}5  {c |}{col 14}{res}{space 2} -.436912{col 26}{space 2} .0136114{col 37}{space 1}  -32.10{col 46}{space 3}0.000{col 54}{space 4}-.4647102{col 67}{space 3}-.4091138
{txt}{space 10}6  {c |}{col 14}{res}{space 2} -.065413{col 26}{space 2}  .061599{col 37}{space 1}   -1.06{col 46}{space 3}0.297{col 54}{space 4} -.191215{col 67}{space 3} .0603889
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.0133754{col 26}{space 2} .0318798{col 37}{space 1}   -0.42{col 46}{space 3}0.678{col 54}{space 4}-.0784826{col 67}{space 3} .0517318
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .1880157{col 26}{space 2} .0481531{col 37}{space 1}    3.90{col 46}{space 3}0.000{col 54}{space 4} .0896741{col 67}{space 3} .2863574
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.2451333{col 26}{space 2} .0428194{col 37}{space 1}   -5.72{col 46}{space 3}0.000{col 54}{space 4}-.3325821{col 67}{space 3}-.1576845
{txt}{space 9}10  {c |}{col 14}{res}{space 2}-.1635948{col 26}{space 2} .0196576{col 37}{space 1}   -8.32{col 46}{space 3}0.000{col 54}{space 4}-.2037409{col 67}{space 3}-.1234488
{txt}{space 9}11  {c |}{col 14}{res}{space 2} -.055962{col 26}{space 2} .0053157{col 37}{space 1}  -10.53{col 46}{space 3}0.000{col 54}{space 4}-.0668181{col 67}{space 3}-.0451059
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.1879404{col 26}{space 2}  .002838{col 37}{space 1}  -66.22{col 46}{space 3}0.000{col 54}{space 4}-.1937363{col 67}{space 3}-.1821444
{txt}{space 9}13  {c |}{col 14}{res}{space 2} .0583396{col 26}{space 2} .0131095{col 37}{space 1}    4.45{col 46}{space 3}0.000{col 54}{space 4} .0315664{col 67}{space 3} .0851129
{txt}{space 9}14  {c |}{col 14}{res}{space 2}-.2934975{col 26}{space 2} .0093287{col 37}{space 1}  -31.46{col 46}{space 3}0.000{col 54}{space 4}-.3125492{col 67}{space 3}-.2744457
{txt}{space 9}15  {c |}{col 14}{res}{space 2}-.1084368{col 26}{space 2} .0070115{col 37}{space 1}  -15.47{col 46}{space 3}0.000{col 54}{space 4}-.1227562{col 67}{space 3}-.0941175
{txt}{space 9}16  {c |}{col 14}{res}{space 2}-.0190479{col 26}{space 2} .0266804{col 37}{space 1}   -0.71{col 46}{space 3}0.481{col 54}{space 4}-.0735364{col 67}{space 3} .0354407
{txt}{space 9}17  {c |}{col 14}{res}{space 2} .0435866{col 26}{space 2} .0104967{col 37}{space 1}    4.15{col 46}{space 3}0.000{col 54}{space 4} .0221494{col 67}{space 3} .0650238
{txt}{space 9}18  {c |}{col 14}{res}{space 2}-.4322209{col 26}{space 2}  .015587{col 37}{space 1}  -27.73{col 46}{space 3}0.000{col 54}{space 4}-.4640538{col 67}{space 3}-.4003881
{txt}{space 9}19  {c |}{col 14}{res}{space 2}-.0547429{col 26}{space 2} .0261141{col 37}{space 1}   -2.10{col 46}{space 3}0.045{col 54}{space 4}-.1080749{col 67}{space 3}-.0014109
{txt}{space 9}20  {c |}{col 14}{res}{space 2}-.3988906{col 26}{space 2} .0116612{col 37}{space 1}  -34.21{col 46}{space 3}0.000{col 54}{space 4}-.4227059{col 67}{space 3}-.3750752
{txt}{space 9}21  {c |}{col 14}{res}{space 2}-.0214808{col 26}{space 2} .0057862{col 37}{space 1}   -3.71{col 46}{space 3}0.001{col 54}{space 4}-.0332978{col 67}{space 3}-.0096637
{txt}{space 9}22  {c |}{col 14}{res}{space 2}-.0150275{col 26}{space 2} .0160538{col 37}{space 1}   -0.94{col 46}{space 3}0.357{col 54}{space 4}-.0478138{col 67}{space 3} .0177587
{txt}{space 9}23  {c |}{col 14}{res}{space 2}-.4752238{col 26}{space 2} .0200286{col 37}{space 1}  -23.73{col 46}{space 3}0.000{col 54}{space 4}-.5161276{col 67}{space 3}  -.43432
{txt}{space 9}24  {c |}{col 14}{res}{space 2}-.1431851{col 26}{space 2}  .013945{col 37}{space 1}  -10.27{col 46}{space 3}0.000{col 54}{space 4}-.1716646{col 67}{space 3}-.1147055
{txt}{space 9}25  {c |}{col 14}{res}{space 2}-.3301472{col 26}{space 2} .0176624{col 37}{space 1}  -18.69{col 46}{space 3}0.000{col 54}{space 4}-.3662185{col 67}{space 3}-.2940758
{txt}{space 9}26  {c |}{col 14}{res}{space 2}-.0868711{col 26}{space 2} .0203376{col 37}{space 1}   -4.27{col 46}{space 3}0.000{col 54}{space 4} -.128406{col 67}{space 3}-.0453362
{txt}{space 9}27  {c |}{col 14}{res}{space 2}-.2653675{col 26}{space 2} .0366631{col 37}{space 1}   -7.24{col 46}{space 3}0.000{col 54}{space 4}-.3402435{col 67}{space 3}-.1904915
{txt}{space 9}28  {c |}{col 14}{res}{space 2}-.0380915{col 26}{space 2} .0168566{col 37}{space 1}   -2.26{col 46}{space 3}0.031{col 54}{space 4}-.0725171{col 67}{space 3}-.0036658
{txt}{space 9}29  {c |}{col 14}{res}{space 2}-.4234944{col 26}{space 2} .0429181{col 37}{space 1}   -9.87{col 46}{space 3}0.000{col 54}{space 4}-.5111447{col 67}{space 3} -.335844
{txt}{space 9}30  {c |}{col 14}{res}{space 2} -.030897{col 26}{space 2} .0133676{col 37}{space 1}   -2.31{col 46}{space 3}0.028{col 54}{space 4}-.0581974{col 67}{space 3}-.0035967
{txt}{space 9}31  {c |}{col 14}{res}{space 2}-.1504086{col 26}{space 2} .0777559{col 37}{space 1}   -1.93{col 46}{space 3}0.063{col 54}{space 4}-.3092075{col 67}{space 3} .0083902
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 1.889216{col 26}{space 2} .1585805{col 37}{space 1}   11.91{col 46}{space 3}0.000{col 54}{space 4} 1.565352{col 67}{space 3} 2.213081
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store m7, title(2016)

. 
. estout m1 m2 m3 m4 m5 m6 m7 using TableA3_The_Effect_of_Distance_with_Restricted_Sample.text, cells(b(star fmt(4)) se(par fmt(5)))legend label stats(r2) varlabels(_cons Constant) 
{res}{txt}(output written to {browse  `"TableA3_The_Effect_of_Distance_with_Restricted_Sample.text"'})

{com}. 
. 
. 
. 
. 
. *Table A4

. 
. reg ENP_cst c.logdis   vv1million    popmillion i.dummies if south==0&yr>1849&yr<1875&dummies<32, cluster(dummies)

{txt}Linear regression                               Number of obs     = {res}     2,256
                                                {txt}{help j_robustsingular:F(2, 19) }         =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0958
                                                {txt}Root MSE          =    {res} .26784

{txt}{ralign 78:(Std. err. adjusted for {res:20} clusters in {res:dummies})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     ENP_cst{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}logdist {c |}{col 14}{res}{space 2} -.007251{col 26}{space 2} .0306023{col 37}{space 1}   -0.24{col 46}{space 3}0.815{col 54}{space 4}-.0713024{col 67}{space 3} .0568003
{txt}{space 2}vv1million {c |}{col 14}{res}{space 2} .1482486{col 26}{space 2} .1242815{col 37}{space 1}    1.19{col 46}{space 3}0.248{col 54}{space 4}-.1118755{col 67}{space 3} .4083727
{txt}{space 2}popmillion {c |}{col 14}{res}{space 2}-.1143264{col 26}{space 2} .0606874{col 37}{space 1}   -1.88{col 46}{space 3}0.075{col 54}{space 4}-.2413466{col 67}{space 3} .0126938
{txt}{space 12} {c |}
{space 5}dummies {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .2446657{col 26}{space 2}  .134812{col 37}{space 1}    1.81{col 46}{space 3}0.085{col 54}{space 4} -.037499{col 67}{space 3} .5268304
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.0299439{col 26}{space 2} .0568375{col 37}{space 1}   -0.53{col 46}{space 3}0.604{col 54}{space 4}-.1489062{col 67}{space 3} .0890183
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.1090557{col 26}{space 2} .0657641{col 37}{space 1}   -1.66{col 46}{space 3}0.114{col 54}{space 4}-.2467016{col 67}{space 3} .0285901
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .0431407{col 26}{space 2} .0262027{col 37}{space 1}    1.65{col 46}{space 3}0.116{col 54}{space 4}-.0117021{col 67}{space 3} .0979836
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .4504829{col 26}{space 2} .1952733{col 37}{space 1}    2.31{col 46}{space 3}0.032{col 54}{space 4} .0417712{col 67}{space 3} .8591945
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.2033051{col 26}{space 2} .0130014{col 37}{space 1}  -15.64{col 46}{space 3}0.000{col 54}{space 4}-.2305174{col 67}{space 3}-.1760928
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.2067444{col 26}{space 2} .0034775{col 37}{space 1}  -59.45{col 46}{space 3}0.000{col 54}{space 4} -.214023{col 67}{space 3}-.1994659
{txt}{space 9}13  {c |}{col 14}{res}{space 2} .0122523{col 26}{space 2} .0100582{col 37}{space 1}    1.22{col 46}{space 3}0.238{col 54}{space 4}-.0087997{col 67}{space 3} .0333043
{txt}{space 9}15  {c |}{col 14}{res}{space 2}-.1157484{col 26}{space 2}   .04949{col 37}{space 1}   -2.34{col 46}{space 3}0.030{col 54}{space 4}-.2193321{col 67}{space 3}-.0121647
{txt}{space 9}16  {c |}{col 14}{res}{space 2}  .213231{col 26}{space 2}   .11341{col 37}{space 1}    1.88{col 46}{space 3}0.076{col 54}{space 4}-.0241388{col 67}{space 3} .4506008
{txt}{space 9}17  {c |}{col 14}{res}{space 2} .0888549{col 26}{space 2} .0621142{col 37}{space 1}    1.43{col 46}{space 3}0.169{col 54}{space 4}-.0411517{col 67}{space 3} .2188614
{txt}{space 9}19  {c |}{col 14}{res}{space 2} .1119054{col 26}{space 2} .0936275{col 37}{space 1}    1.20{col 46}{space 3}0.247{col 54}{space 4}-.0840592{col 67}{space 3} .3078701
{txt}{space 9}21  {c |}{col 14}{res}{space 2} .0232538{col 26}{space 2} .0233008{col 37}{space 1}    1.00{col 46}{space 3}0.331{col 54}{space 4}-.0255153{col 67}{space 3} .0720229
{txt}{space 9}22  {c |}{col 14}{res}{space 2} .1605361{col 26}{space 2} .0668978{col 37}{space 1}    2.40{col 46}{space 3}0.027{col 54}{space 4} .0205174{col 67}{space 3} .3005548
{txt}{space 9}24  {c |}{col 14}{res}{space 2} .0236105{col 26}{space 2} .0511457{col 37}{space 1}    0.46{col 46}{space 3}0.650{col 54}{space 4}-.0834386{col 67}{space 3} .1306597
{txt}{space 9}26  {c |}{col 14}{res}{space 2}  .022399{col 26}{space 2}  .034166{col 37}{space 1}    0.66{col 46}{space 3}0.520{col 54}{space 4}-.0491114{col 67}{space 3} .0939093
{txt}{space 9}28  {c |}{col 14}{res}{space 2} -.033786{col 26}{space 2} .0453822{col 37}{space 1}   -0.74{col 46}{space 3}0.466{col 54}{space 4} -.128772{col 67}{space 3} .0611999
{txt}{space 9}30  {c |}{col 14}{res}{space 2} .0051112{col 26}{space 2} .0377395{col 37}{space 1}    0.14{col 46}{space 3}0.894{col 54}{space 4}-.0738786{col 67}{space 3} .0841009
{txt}{space 9}31  {c |}{col 14}{res}{space 2} .1069039{col 26}{space 2} .0561461{col 37}{space 1}    1.90{col 46}{space 3}0.072{col 54}{space 4}-.0106112{col 67}{space 3}  .224419
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 2.090815{col 26}{space 2} .2115818{col 37}{space 1}    9.88{col 46}{space 3}0.000{col 54}{space 4} 1.647969{col 67}{space 3} 2.533661
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store m1, title(1875)

. 
. reg ENP_cst c.logdis   vv1million  popmillion  i.dummies if south==0 &yr>1849&yr<1900&dummies<32, cluster(dummies)

{txt}Linear regression                               Number of obs     = {res}     4,877
                                                {txt}{help j_robustsingular:F(2, 19) }         =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0573
                                                {txt}Root MSE          =    {res} .26568

{txt}{ralign 78:(Std. err. adjusted for {res:20} clusters in {res:dummies})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     ENP_cst{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}logdist {c |}{col 14}{res}{space 2} .0489387{col 26}{space 2} .0173205{col 37}{space 1}    2.83{col 46}{space 3}0.011{col 54}{space 4} .0126864{col 67}{space 3} .0851909
{txt}{space 2}vv1million {c |}{col 14}{res}{space 2}  .061512{col 26}{space 2} .0342225{col 37}{space 1}    1.80{col 46}{space 3}0.088{col 54}{space 4}-.0101165{col 67}{space 3} .1331406
{txt}{space 2}popmillion {c |}{col 14}{res}{space 2} .0170071{col 26}{space 2}  .023443{col 37}{space 1}    0.73{col 46}{space 3}0.477{col 54}{space 4}-.0320597{col 67}{space 3} .0660739
{txt}{space 12} {c |}
{space 5}dummies {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0308457{col 26}{space 2} .0707096{col 37}{space 1}   -0.44{col 46}{space 3}0.668{col 54}{space 4}-.1788427{col 67}{space 3} .1171512
{txt}{space 10}4  {c |}{col 14}{res}{space 2}  .073931{col 26}{space 2} .0303416{col 37}{space 1}    2.44{col 46}{space 3}0.025{col 54}{space 4} .0104253{col 67}{space 3} .1374367
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .0426989{col 26}{space 2} .0369513{col 37}{space 1}    1.16{col 46}{space 3}0.262{col 54}{space 4}-.0346411{col 67}{space 3} .1200388
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .0956118{col 26}{space 2} .0159688{col 37}{space 1}    5.99{col 46}{space 3}0.000{col 54}{space 4} .0621888{col 67}{space 3} .1290348
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.0160507{col 26}{space 2} .0930075{col 37}{space 1}   -0.17{col 46}{space 3}0.865{col 54}{space 4}-.2107176{col 67}{space 3} .1786161
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.1186745{col 26}{space 2}  .004907{col 37}{space 1}  -24.18{col 46}{space 3}0.000{col 54}{space 4} -.128945{col 67}{space 3}-.1084041
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.2569477{col 26}{space 2} .0021174{col 37}{space 1} -121.35{col 46}{space 3}0.000{col 54}{space 4}-.2613795{col 67}{space 3} -.252516
{txt}{space 9}13  {c |}{col 14}{res}{space 2} .0287659{col 26}{space 2} .0060119{col 37}{space 1}    4.78{col 46}{space 3}0.000{col 54}{space 4}  .016183{col 67}{space 3} .0413489
{txt}{space 9}15  {c |}{col 14}{res}{space 2} -.144533{col 26}{space 2}  .025329{col 37}{space 1}   -5.71{col 46}{space 3}0.000{col 54}{space 4}-.1975472{col 67}{space 3}-.0915187
{txt}{space 9}16  {c |}{col 14}{res}{space 2}-.0153735{col 26}{space 2}  .054666{col 37}{space 1}   -0.28{col 46}{space 3}0.782{col 54}{space 4}-.1297907{col 67}{space 3} .0990438
{txt}{space 9}17  {c |}{col 14}{res}{space 2}-.0069744{col 26}{space 2} .0329356{col 37}{space 1}   -0.21{col 46}{space 3}0.835{col 54}{space 4}-.0759094{col 67}{space 3} .0619607
{txt}{space 9}19  {c |}{col 14}{res}{space 2}-.0333177{col 26}{space 2} .0594171{col 37}{space 1}   -0.56{col 46}{space 3}0.582{col 54}{space 4}-.1576791{col 67}{space 3} .0910437
{txt}{space 9}21  {c |}{col 14}{res}{space 2}-.0281853{col 26}{space 2} .0100457{col 37}{space 1}   -2.81{col 46}{space 3}0.011{col 54}{space 4}-.0492112{col 67}{space 3}-.0071594
{txt}{space 9}22  {c |}{col 14}{res}{space 2} .0079091{col 26}{space 2} .0438159{col 37}{space 1}    0.18{col 46}{space 3}0.859{col 54}{space 4}-.0837985{col 67}{space 3} .0996168
{txt}{space 9}24  {c |}{col 14}{res}{space 2} -.054859{col 26}{space 2} .0279208{col 37}{space 1}   -1.96{col 46}{space 3}0.064{col 54}{space 4}-.1132978{col 67}{space 3} .0035799
{txt}{space 9}26  {c |}{col 14}{res}{space 2} .0543569{col 26}{space 2} .0276439{col 37}{space 1}    1.97{col 46}{space 3}0.064{col 54}{space 4}-.0035024{col 67}{space 3} .1122162
{txt}{space 9}28  {c |}{col 14}{res}{space 2}-.0551594{col 26}{space 2}  .033697{col 37}{space 1}   -1.64{col 46}{space 3}0.118{col 54}{space 4} -.125688{col 67}{space 3} .0153691
{txt}{space 9}30  {c |}{col 14}{res}{space 2} -.002174{col 26}{space 2} .0259478{col 37}{space 1}   -0.08{col 46}{space 3}0.934{col 54}{space 4}-.0564833{col 67}{space 3} .0521352
{txt}{space 9}31  {c |}{col 14}{res}{space 2} .1059614{col 26}{space 2} .0371066{col 37}{space 1}    2.86{col 46}{space 3}0.010{col 54}{space 4} .0282964{col 67}{space 3} .1836265
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}  1.71003{col 26}{space 2} .1170201{col 37}{space 1}   14.61{col 46}{space 3}0.000{col 54}{space 4} 1.465104{col 67}{space 3} 1.954956
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store m2, title(1900)

. 
. reg ENP_cst c.logdis   vv1million    popmillion i.dummies if south==0 &yr>1849&yr<1925&dummies<32, cluster(dummies)

{txt}Linear regression                               Number of obs     = {res}     8,146
                                                {txt}{help j_robustsingular:F(2, 19) }         =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0434
                                                {txt}Root MSE          =    {res} .32662

{txt}{ralign 78:(Std. err. adjusted for {res:20} clusters in {res:dummies})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     ENP_cst{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}logdist {c |}{col 14}{res}{space 2} .0327657{col 26}{space 2} .0285056{col 37}{space 1}    1.15{col 46}{space 3}0.265{col 54}{space 4}-.0268971{col 67}{space 3} .0924285
{txt}{space 2}vv1million {c |}{col 14}{res}{space 2} .0499669{col 26}{space 2} .0176036{col 37}{space 1}    2.84{col 46}{space 3}0.011{col 54}{space 4} .0131221{col 67}{space 3} .0868117
{txt}{space 2}popmillion {c |}{col 14}{res}{space 2} .0250403{col 26}{space 2} .0079746{col 37}{space 1}    3.14{col 46}{space 3}0.005{col 54}{space 4} .0083493{col 67}{space 3} .0417313
{txt}{space 12} {c |}
{space 5}dummies {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0328285{col 26}{space 2} .0332909{col 37}{space 1}   -0.99{col 46}{space 3}0.336{col 54}{space 4} -.102507{col 67}{space 3} .0368501
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .1087761{col 26}{space 2}  .046439{col 37}{space 1}    2.34{col 46}{space 3}0.030{col 54}{space 4} .0115781{col 67}{space 3} .2059741
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .0405625{col 26}{space 2} .0662457{col 37}{space 1}    0.61{col 46}{space 3}0.548{col 54}{space 4}-.0980914{col 67}{space 3} .1792164
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .0742962{col 26}{space 2} .0240887{col 37}{space 1}    3.08{col 46}{space 3}0.006{col 54}{space 4}  .023878{col 67}{space 3} .1247144
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.0490762{col 26}{space 2} .0398422{col 37}{space 1}   -1.23{col 46}{space 3}0.233{col 54}{space 4} -.132467{col 67}{space 3} .0343146
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.0538676{col 26}{space 2} .0059721{col 37}{space 1}   -9.02{col 46}{space 3}0.000{col 54}{space 4}-.0663674{col 67}{space 3}-.0413678
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.2571132{col 26}{space 2} .0041399{col 37}{space 1}  -62.11{col 46}{space 3}0.000{col 54}{space 4}-.2657782{col 67}{space 3}-.2484482
{txt}{space 9}13  {c |}{col 14}{res}{space 2} .0612773{col 26}{space 2} .0104029{col 37}{space 1}    5.89{col 46}{space 3}0.000{col 54}{space 4} .0395039{col 67}{space 3} .0830508
{txt}{space 9}15  {c |}{col 14}{res}{space 2}-.1363705{col 26}{space 2} .0105655{col 37}{space 1}  -12.91{col 46}{space 3}0.000{col 54}{space 4}-.1584843{col 67}{space 3}-.1142566
{txt}{space 9}16  {c |}{col 14}{res}{space 2}-.0339289{col 26}{space 2} .0213345{col 37}{space 1}   -1.59{col 46}{space 3}0.128{col 54}{space 4}-.0785826{col 67}{space 3} .0107247
{txt}{space 9}17  {c |}{col 14}{res}{space 2} .0396054{col 26}{space 2} .0163047{col 37}{space 1}    2.43{col 46}{space 3}0.025{col 54}{space 4} .0054793{col 67}{space 3} .0737316
{txt}{space 9}19  {c |}{col 14}{res}{space 2}  -.03332{col 26}{space 2} .0364925{col 37}{space 1}   -0.91{col 46}{space 3}0.373{col 54}{space 4}-.1096996{col 67}{space 3} .0430596
{txt}{space 9}21  {c |}{col 14}{res}{space 2}-.0244982{col 26}{space 2} .0087349{col 37}{space 1}   -2.80{col 46}{space 3}0.011{col 54}{space 4}-.0427805{col 67}{space 3}-.0062159
{txt}{space 9}22  {c |}{col 14}{res}{space 2}-.0258483{col 26}{space 2} .0305411{col 37}{space 1}   -0.85{col 46}{space 3}0.408{col 54}{space 4}-.0897716{col 67}{space 3}  .038075
{txt}{space 9}24  {c |}{col 14}{res}{space 2}-.0738546{col 26}{space 2} .0135594{col 37}{space 1}   -5.45{col 46}{space 3}0.000{col 54}{space 4}-.1022348{col 67}{space 3}-.0454744
{txt}{space 9}26  {c |}{col 14}{res}{space 2}-.0313253{col 26}{space 2} .0164783{col 37}{space 1}   -1.90{col 46}{space 3}0.073{col 54}{space 4}-.0658147{col 67}{space 3} .0031642
{txt}{space 9}28  {c |}{col 14}{res}{space 2}-.0852751{col 26}{space 2} .0288164{col 37}{space 1}   -2.96{col 46}{space 3}0.008{col 54}{space 4}-.1455885{col 67}{space 3}-.0249617
{txt}{space 9}30  {c |}{col 14}{res}{space 2}-.0210221{col 26}{space 2} .0223498{col 37}{space 1}   -0.94{col 46}{space 3}0.359{col 54}{space 4}-.0678007{col 67}{space 3} .0257565
{txt}{space 9}31  {c |}{col 14}{res}{space 2}-.0422985{col 26}{space 2} .0555771{col 37}{space 1}   -0.76{col 46}{space 3}0.456{col 54}{space 4}-.1586227{col 67}{space 3} .0740258
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 1.812329{col 26}{space 2} .1880694{col 37}{space 1}    9.64{col 46}{space 3}0.000{col 54}{space 4} 1.418695{col 67}{space 3} 2.205963
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store m3, title(1925)

. 
. reg ENP_cst c.logdis   vv1million    popmillion i.dummies if south==0 &yr>1849&yr<1950&dummies<32, cluster(dummies)

{txt}Linear regression                               Number of obs     = {res}    11,291
                                                {txt}{help j_robustsingular:F(2, 19) }         =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0441
                                                {txt}Root MSE          =    {res} .32815

{txt}{ralign 78:(Std. err. adjusted for {res:20} clusters in {res:dummies})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     ENP_cst{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}logdist {c |}{col 14}{res}{space 2} .0213724{col 26}{space 2} .0313588{col 37}{space 1}    0.68{col 46}{space 3}0.504{col 54}{space 4}-.0442624{col 67}{space 3} .0870071
{txt}{space 2}vv1million {c |}{col 14}{res}{space 2}  .011268{col 26}{space 2} .0078415{col 37}{space 1}    1.44{col 46}{space 3}0.167{col 54}{space 4}-.0051444{col 67}{space 3} .0276804
{txt}{space 2}popmillion {c |}{col 14}{res}{space 2}-.0070734{col 26}{space 2} .0102696{col 37}{space 1}   -0.69{col 46}{space 3}0.499{col 54}{space 4}-.0285678{col 67}{space 3} .0144211
{txt}{space 12} {c |}
{space 5}dummies {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0900495{col 26}{space 2} .0841919{col 37}{space 1}    1.07{col 46}{space 3}0.298{col 54}{space 4}-.0861661{col 67}{space 3} .2662652
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0869991{col 26}{space 2} .0491248{col 37}{space 1}    1.77{col 46}{space 3}0.093{col 54}{space 4}-.0158203{col 67}{space 3} .1898185
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .0245045{col 26}{space 2} .0799861{col 37}{space 1}    0.31{col 46}{space 3}0.763{col 54}{space 4}-.1429083{col 67}{space 3} .1919173
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .0570105{col 26}{space 2} .0454072{col 37}{space 1}    1.26{col 46}{space 3}0.225{col 54}{space 4} -.038028{col 67}{space 3} .1520489
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .1584081{col 26}{space 2} .0874842{col 37}{space 1}    1.81{col 46}{space 3}0.086{col 54}{space 4}-.0246985{col 67}{space 3} .3415146
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.0408281{col 26}{space 2} .0068212{col 37}{space 1}   -5.99{col 46}{space 3}0.000{col 54}{space 4}-.0551049{col 67}{space 3}-.0265512
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.2440365{col 26}{space 2} .0039887{col 37}{space 1}  -61.18{col 46}{space 3}0.000{col 54}{space 4} -.252385{col 67}{space 3} -.235688
{txt}{space 9}13  {c |}{col 14}{res}{space 2} .0905372{col 26}{space 2} .0173289{col 37}{space 1}    5.22{col 46}{space 3}0.000{col 54}{space 4} .0542674{col 67}{space 3}  .126807
{txt}{space 9}15  {c |}{col 14}{res}{space 2} -.086714{col 26}{space 2} .0158263{col 37}{space 1}   -5.48{col 46}{space 3}0.000{col 54}{space 4}-.1198388{col 67}{space 3}-.0535892
{txt}{space 9}16  {c |}{col 14}{res}{space 2} .0501876{col 26}{space 2} .0456085{col 37}{space 1}    1.10{col 46}{space 3}0.285{col 54}{space 4}-.0452721{col 67}{space 3} .1456473
{txt}{space 9}17  {c |}{col 14}{res}{space 2} .0803747{col 26}{space 2} .0179542{col 37}{space 1}    4.48{col 46}{space 3}0.000{col 54}{space 4} .0427962{col 67}{space 3} .1179533
{txt}{space 9}19  {c |}{col 14}{res}{space 2} .0479447{col 26}{space 2} .0429086{col 37}{space 1}    1.12{col 46}{space 3}0.278{col 54}{space 4}-.0418639{col 67}{space 3} .1377534
{txt}{space 9}21  {c |}{col 14}{res}{space 2}-.0279669{col 26}{space 2} .0067159{col 37}{space 1}   -4.16{col 46}{space 3}0.001{col 54}{space 4}-.0420234{col 67}{space 3}-.0139103
{txt}{space 9}22  {c |}{col 14}{res}{space 2} .0236086{col 26}{space 2} .0222794{col 37}{space 1}    1.06{col 46}{space 3}0.303{col 54}{space 4}-.0230227{col 67}{space 3} .0702399
{txt}{space 9}24  {c |}{col 14}{res}{space 2}-.0485937{col 26}{space 2} .0270965{col 37}{space 1}   -1.79{col 46}{space 3}0.089{col 54}{space 4}-.1053073{col 67}{space 3} .0081198
{txt}{space 9}26  {c |}{col 14}{res}{space 2}-.0232888{col 26}{space 2} .0255939{col 37}{space 1}   -0.91{col 46}{space 3}0.374{col 54}{space 4}-.0768574{col 67}{space 3} .0302798
{txt}{space 9}28  {c |}{col 14}{res}{space 2}-.0376521{col 26}{space 2} .0202086{col 37}{space 1}   -1.86{col 46}{space 3}0.078{col 54}{space 4}-.0799491{col 67}{space 3} .0046449
{txt}{space 9}30  {c |}{col 14}{res}{space 2} .0669255{col 26}{space 2} .0164481{col 37}{space 1}    4.07{col 46}{space 3}0.001{col 54}{space 4} .0324994{col 67}{space 3} .1013517
{txt}{space 9}31  {c |}{col 14}{res}{space 2}-.1856606{col 26}{space 2} .0471528{col 37}{space 1}   -3.94{col 46}{space 3}0.001{col 54}{space 4}-.2843525{col 67}{space 3}-.0869687
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}  1.88502{col 26}{space 2} .2032147{col 37}{space 1}    9.28{col 46}{space 3}0.000{col 54}{space 4} 1.459687{col 67}{space 3} 2.310353
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store m4, title(1950)

. 
. reg ENP_cst c.logdis   vv1million    popmillion i.dummies if south==0 &yr>1849&yr<1975&dummies<32, cluster(dummies)

{txt}Linear regression                               Number of obs     = {res}    14,701
                                                {txt}{help j_robustsingular:F(2, 19) }         =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0700
                                                {txt}Root MSE          =    {res} .31206

{txt}{ralign 78:(Std. err. adjusted for {res:20} clusters in {res:dummies})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     ENP_cst{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}logdist {c |}{col 14}{res}{space 2} .0144822{col 26}{space 2} .0319713{col 37}{space 1}    0.45{col 46}{space 3}0.656{col 54}{space 4}-.0524345{col 67}{space 3} .0813988
{txt}{space 2}vv1million {c |}{col 14}{res}{space 2} .0079053{col 26}{space 2} .0073058{col 37}{space 1}    1.08{col 46}{space 3}0.293{col 54}{space 4}-.0073859{col 67}{space 3} .0231964
{txt}{space 2}popmillion {c |}{col 14}{res}{space 2}-.0110507{col 26}{space 2} .0066764{col 37}{space 1}   -1.66{col 46}{space 3}0.114{col 54}{space 4}-.0250246{col 67}{space 3} .0029232
{txt}{space 12} {c |}
{space 5}dummies {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .1086916{col 26}{space 2} .0753984{col 37}{space 1}    1.44{col 46}{space 3}0.166{col 54}{space 4}-.0491191{col 67}{space 3} .2665023
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0800492{col 26}{space 2} .0502714{col 37}{space 1}    1.59{col 46}{space 3}0.128{col 54}{space 4}  -.02517{col 67}{space 3} .1852684
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .0011929{col 26}{space 2} .0831509{col 37}{space 1}    0.01{col 46}{space 3}0.989{col 54}{space 4}-.1728439{col 67}{space 3} .1752297
{txt}{space 10}7  {c |}{col 14}{res}{space 2}  .059385{col 26}{space 2} .0475889{col 37}{space 1}    1.25{col 46}{space 3}0.227{col 54}{space 4}-.0402196{col 67}{space 3} .1589897
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .2291413{col 26}{space 2} .0761738{col 37}{space 1}    3.01{col 46}{space 3}0.007{col 54}{space 4} .0697077{col 67}{space 3} .3885748
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.0406782{col 26}{space 2} .0072081{col 37}{space 1}   -5.64{col 46}{space 3}0.000{col 54}{space 4}-.0557649{col 67}{space 3}-.0255916
{txt}{space 9}12  {c |}{col 14}{res}{space 2} -.207211{col 26}{space 2} .0035925{col 37}{space 1}  -57.68{col 46}{space 3}0.000{col 54}{space 4}-.2147301{col 67}{space 3}-.1996918
{txt}{space 9}13  {c |}{col 14}{res}{space 2} .0871333{col 26}{space 2} .0186327{col 37}{space 1}    4.68{col 46}{space 3}0.000{col 54}{space 4} .0481347{col 67}{space 3} .1261319
{txt}{space 9}15  {c |}{col 14}{res}{space 2}-.0659041{col 26}{space 2} .0113154{col 37}{space 1}   -5.82{col 46}{space 3}0.000{col 54}{space 4}-.0895876{col 67}{space 3}-.0422207
{txt}{space 9}16  {c |}{col 14}{res}{space 2}  .061209{col 26}{space 2} .0409105{col 37}{space 1}    1.50{col 46}{space 3}0.151{col 54}{space 4}-.0244177{col 67}{space 3} .1468357
{txt}{space 9}17  {c |}{col 14}{res}{space 2}  .092987{col 26}{space 2} .0123882{col 37}{space 1}    7.51{col 46}{space 3}0.000{col 54}{space 4} .0670581{col 67}{space 3} .1189158
{txt}{space 9}19  {c |}{col 14}{res}{space 2} .0555249{col 26}{space 2} .0303496{col 37}{space 1}    1.83{col 46}{space 3}0.083{col 54}{space 4}-.0079976{col 67}{space 3} .1190473
{txt}{space 9}21  {c |}{col 14}{res}{space 2}-.0132424{col 26}{space 2} .0064844{col 37}{space 1}   -2.04{col 46}{space 3}0.055{col 54}{space 4}-.0268143{col 67}{space 3} .0003296
{txt}{space 9}22  {c |}{col 14}{res}{space 2} .0357647{col 26}{space 2} .0137587{col 37}{space 1}    2.60{col 46}{space 3}0.018{col 54}{space 4} .0069675{col 67}{space 3}  .064562
{txt}{space 9}24  {c |}{col 14}{res}{space 2}-.0717801{col 26}{space 2}  .022241{col 37}{space 1}   -3.23{col 46}{space 3}0.004{col 54}{space 4} -.118331{col 67}{space 3}-.0252292
{txt}{space 9}26  {c |}{col 14}{res}{space 2}-.0169396{col 26}{space 2} .0242973{col 37}{space 1}   -0.70{col 46}{space 3}0.494{col 54}{space 4}-.0677943{col 67}{space 3} .0339151
{txt}{space 9}28  {c |}{col 14}{res}{space 2}-.0102738{col 26}{space 2} .0167325{col 37}{space 1}   -0.61{col 46}{space 3}0.546{col 54}{space 4}-.0452954{col 67}{space 3} .0247477
{txt}{space 9}30  {c |}{col 14}{res}{space 2} .0539149{col 26}{space 2} .0111795{col 37}{space 1}    4.82{col 46}{space 3}0.000{col 54}{space 4} .0305159{col 67}{space 3} .0773138
{txt}{space 9}31  {c |}{col 14}{res}{space 2}-.1025198{col 26}{space 2} .0429906{col 37}{space 1}   -2.38{col 46}{space 3}0.028{col 54}{space 4}-.1925001{col 67}{space 3}-.0125395
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 1.907625{col 26}{space 2} .2071735{col 37}{space 1}    9.21{col 46}{space 3}0.000{col 54}{space 4} 1.474005{col 67}{space 3} 2.341244
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store m5, title(1975)

. 
. reg ENP_cst c.logdis   vv1million    popmillion i.dummies if south==0 &yr>1849&yr<2000&dummies<32, cluster(dummies)

{txt}Linear regression                               Number of obs     = {res}    17,671
                                                {txt}{help j_robustsingular:F(2, 19) }         =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0743
                                                {txt}Root MSE          =    {res} .31869

{txt}{ralign 78:(Std. err. adjusted for {res:20} clusters in {res:dummies})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     ENP_cst{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}logdist {c |}{col 14}{res}{space 2} .0215753{col 26}{space 2} .0285559{col 37}{space 1}    0.76{col 46}{space 3}0.459{col 54}{space 4}-.0381929{col 67}{space 3} .0813435
{txt}{space 2}vv1million {c |}{col 14}{res}{space 2} .0031485{col 26}{space 2}  .011741{col 37}{space 1}    0.27{col 46}{space 3}0.791{col 54}{space 4}-.0214257{col 67}{space 3} .0277226
{txt}{space 2}popmillion {c |}{col 14}{res}{space 2}-.0080765{col 26}{space 2}  .006208{col 37}{space 1}   -1.30{col 46}{space 3}0.209{col 54}{space 4}-.0210699{col 67}{space 3}  .004917
{txt}{space 12} {c |}
{space 5}dummies {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0804986{col 26}{space 2} .0688774{col 37}{space 1}    1.17{col 46}{space 3}0.257{col 54}{space 4}-.0636635{col 67}{space 3} .2246607
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0766691{col 26}{space 2} .0451284{col 37}{space 1}    1.70{col 46}{space 3}0.106{col 54}{space 4}-.0177857{col 67}{space 3}  .171124
{txt}{space 10}6  {c |}{col 14}{res}{space 2} -.017054{col 26}{space 2} .0754705{col 37}{space 1}   -0.23{col 46}{space 3}0.824{col 54}{space 4}-.1750155{col 67}{space 3} .1409075
{txt}{space 10}7  {c |}{col 14}{res}{space 2}  .039217{col 26}{space 2} .0451308{col 37}{space 1}    0.87{col 46}{space 3}0.396{col 54}{space 4}-.0552429{col 67}{space 3} .1336768
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .2292495{col 26}{space 2} .0750735{col 37}{space 1}    3.05{col 46}{space 3}0.007{col 54}{space 4} .0721189{col 67}{space 3} .3863802
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.0445389{col 26}{space 2} .0064331{col 37}{space 1}   -6.92{col 46}{space 3}0.000{col 54}{space 4}-.0580035{col 67}{space 3}-.0310742
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.1784393{col 26}{space 2} .0030704{col 37}{space 1}  -58.12{col 46}{space 3}0.000{col 54}{space 4}-.1848657{col 67}{space 3}-.1720129
{txt}{space 9}13  {c |}{col 14}{res}{space 2} .0839609{col 26}{space 2} .0176897{col 37}{space 1}    4.75{col 46}{space 3}0.000{col 54}{space 4} .0469358{col 67}{space 3} .1209859
{txt}{space 9}15  {c |}{col 14}{res}{space 2}-.0826096{col 26}{space 2} .0110287{col 37}{space 1}   -7.49{col 46}{space 3}0.000{col 54}{space 4}-.1056929{col 67}{space 3}-.0595264
{txt}{space 9}16  {c |}{col 14}{res}{space 2} .0328569{col 26}{space 2} .0411064{col 37}{space 1}    0.80{col 46}{space 3}0.434{col 54}{space 4}-.0531798{col 67}{space 3} .1188936
{txt}{space 9}17  {c |}{col 14}{res}{space 2} .0746162{col 26}{space 2} .0141724{col 37}{space 1}    5.26{col 46}{space 3}0.000{col 54}{space 4}  .044953{col 67}{space 3} .1042794
{txt}{space 9}19  {c |}{col 14}{res}{space 2} .0083794{col 26}{space 2}  .034922{col 37}{space 1}    0.24{col 46}{space 3}0.813{col 54}{space 4}-.0647132{col 67}{space 3} .0814719
{txt}{space 9}21  {c |}{col 14}{res}{space 2}-.0133036{col 26}{space 2} .0061789{col 37}{space 1}   -2.15{col 46}{space 3}0.044{col 54}{space 4}-.0262362{col 67}{space 3} -.000371
{txt}{space 9}22  {c |}{col 14}{res}{space 2} .0182732{col 26}{space 2} .0158467{col 37}{space 1}    1.15{col 46}{space 3}0.263{col 54}{space 4}-.0148942{col 67}{space 3} .0514407
{txt}{space 9}24  {c |}{col 14}{res}{space 2}-.1095285{col 26}{space 2} .0218171{col 37}{space 1}   -5.02{col 46}{space 3}0.000{col 54}{space 4}-.1551922{col 67}{space 3}-.0638648
{txt}{space 9}26  {c |}{col 14}{res}{space 2}-.0481333{col 26}{space 2} .0290232{col 37}{space 1}   -1.66{col 46}{space 3}0.114{col 54}{space 4}-.1088796{col 67}{space 3}  .012613
{txt}{space 9}28  {c |}{col 14}{res}{space 2}-.0246935{col 26}{space 2} .0167297{col 37}{space 1}   -1.48{col 46}{space 3}0.156{col 54}{space 4}-.0597091{col 67}{space 3} .0103221
{txt}{space 9}30  {c |}{col 14}{res}{space 2} .0087421{col 26}{space 2} .0131595{col 37}{space 1}    0.66{col 46}{space 3}0.514{col 54}{space 4}-.0188011{col 67}{space 3} .0362853
{txt}{space 9}31  {c |}{col 14}{res}{space 2} -.058964{col 26}{space 2}  .078236{col 37}{space 1}   -0.75{col 46}{space 3}0.460{col 54}{space 4}-.2227139{col 67}{space 3} .1047858
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 1.850896{col 26}{space 2} .1849208{col 37}{space 1}   10.01{col 46}{space 3}0.000{col 54}{space 4} 1.463853{col 67}{space 3}  2.23794
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store m6, title(2000)

. 
. reg ENP_cst c.logdis   vv1million    popmillion i.dummies if south==0 &yr>1849&yr<2020&dummies<32, cluster(dummies)

{txt}Linear regression                               Number of obs     = {res}    19,736
                                                {txt}{help j_robustsingular:F(2, 19) }         =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0911
                                                {txt}Root MSE          =    {res} .32057

{txt}{ralign 78:(Std. err. adjusted for {res:20} clusters in {res:dummies})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     ENP_cst{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}logdist {c |}{col 14}{res}{space 2} .0377346{col 26}{space 2}  .022615{col 37}{space 1}    1.67{col 46}{space 3}0.112{col 54}{space 4}-.0095991{col 67}{space 3} .0850682
{txt}{space 2}vv1million {c |}{col 14}{res}{space 2} .0034415{col 26}{space 2} .0144617{col 37}{space 1}    0.24{col 46}{space 3}0.814{col 54}{space 4}-.0268272{col 67}{space 3} .0337101
{txt}{space 2}popmillion {c |}{col 14}{res}{space 2}-.0063682{col 26}{space 2} .0049879{col 37}{space 1}   -1.28{col 46}{space 3}0.217{col 54}{space 4}-.0168081{col 67}{space 3} .0040717
{txt}{space 12} {c |}
{space 5}dummies {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0600306{col 26}{space 2} .0562564{col 37}{space 1}    1.07{col 46}{space 3}0.299{col 54}{space 4}-.0577154{col 67}{space 3} .1777766
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0813755{col 26}{space 2} .0357877{col 37}{space 1}    2.27{col 46}{space 3}0.035{col 54}{space 4} .0064711{col 67}{space 3}   .15628
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.0066464{col 26}{space 2} .0611095{col 37}{space 1}   -0.11{col 46}{space 3}0.915{col 54}{space 4}  -.13455{col 67}{space 3} .1212572
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .0225391{col 26}{space 2} .0379247{col 37}{space 1}    0.59{col 46}{space 3}0.559{col 54}{space 4}-.0568381{col 67}{space 3} .1019164
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .2396697{col 26}{space 2} .0632857{col 37}{space 1}    3.79{col 46}{space 3}0.001{col 54}{space 4} .1072113{col 67}{space 3} .3721282
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.0511859{col 26}{space 2} .0050285{col 37}{space 1}  -10.18{col 46}{space 3}0.000{col 54}{space 4}-.0617107{col 67}{space 3} -.040661
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.1867041{col 26}{space 2} .0023192{col 37}{space 1}  -80.50{col 46}{space 3}0.000{col 54}{space 4}-.1915581{col 67}{space 3}  -.18185
{txt}{space 9}13  {c |}{col 14}{res}{space 2} .0737116{col 26}{space 2} .0148238{col 37}{space 1}    4.97{col 46}{space 3}0.000{col 54}{space 4} .0426851{col 67}{space 3} .1047382
{txt}{space 9}15  {c |}{col 14}{res}{space 2}-.1019457{col 26}{space 2} .0091358{col 37}{space 1}  -11.16{col 46}{space 3}0.000{col 54}{space 4}-.1210671{col 67}{space 3}-.0828243
{txt}{space 9}16  {c |}{col 14}{res}{space 2} .0101602{col 26}{space 2}     .035{col 37}{space 1}    0.29{col 46}{space 3}0.775{col 54}{space 4}-.0630956{col 67}{space 3}  .083416
{txt}{space 9}17  {c |}{col 14}{res}{space 2} .0507951{col 26}{space 2} .0124513{col 37}{space 1}    4.08{col 46}{space 3}0.001{col 54}{space 4} .0247343{col 67}{space 3}  .076856
{txt}{space 9}19  {c |}{col 14}{res}{space 2}-.0365694{col 26}{space 2} .0307505{col 37}{space 1}   -1.19{col 46}{space 3}0.249{col 54}{space 4}-.1009309{col 67}{space 3} .0277922
{txt}{space 9}21  {c |}{col 14}{res}{space 2}-.0261389{col 26}{space 2} .0049887{col 37}{space 1}   -5.24{col 46}{space 3}0.000{col 54}{space 4}-.0365805{col 67}{space 3}-.0156974
{txt}{space 9}22  {c |}{col 14}{res}{space 2}-.0169157{col 26}{space 2} .0131735{col 37}{space 1}   -1.28{col 46}{space 3}0.215{col 54}{space 4}-.0444881{col 67}{space 3} .0106567
{txt}{space 9}24  {c |}{col 14}{res}{space 2}-.1283485{col 26}{space 2} .0183329{col 37}{space 1}   -7.00{col 46}{space 3}0.000{col 54}{space 4}-.1667198{col 67}{space 3}-.0899773
{txt}{space 9}26  {c |}{col 14}{res}{space 2}-.0687649{col 26}{space 2} .0258067{col 37}{space 1}   -2.66{col 46}{space 3}0.015{col 54}{space 4} -.122779{col 67}{space 3}-.0147509
{txt}{space 9}28  {c |}{col 14}{res}{space 2}-.0473579{col 26}{space 2} .0132899{col 37}{space 1}   -3.56{col 46}{space 3}0.002{col 54}{space 4} -.075174{col 67}{space 3}-.0195419
{txt}{space 9}30  {c |}{col 14}{res}{space 2}-.0320203{col 26}{space 2} .0111229{col 37}{space 1}   -2.88{col 46}{space 3}0.010{col 54}{space 4}-.0553008{col 67}{space 3}-.0087397
{txt}{space 9}31  {c |}{col 14}{res}{space 2}-.1124265{col 26}{space 2}  .084983{col 37}{space 1}   -1.32{col 46}{space 3}0.202{col 54}{space 4}-.2902979{col 67}{space 3} .0654449
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 1.755357{col 26}{space 2} .1460064{col 37}{space 1}   12.02{col 46}{space 3}0.000{col 54}{space 4} 1.449762{col 67}{space 3} 2.060951
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store m7, title(2016)

. 
. estout m1 m2 m3 m4 m5 m6 m7 using TableA4_The_Effect_of_Distance_on_the_Number_of_Parties_in_Non_South_with_Restricted_Sample.text, cells(b(star fmt(4)) se(par fmt(5)))legend label stats(r2) varlabels(_cons Constant) 
{res}{txt}(output written to {browse  `"TableA4_The_Effect_of_Distance_on_the_Number_of_Parties_in_Non_South_with_Restricted_Sample.text"'})

{com}. 
. 
. 
. *Table A5

. 
. reg ENP_cst c.yr vv1million popmillion  i.dummies if timezones==5&south==0, cluster(dummies)

{txt}Linear regression                               Number of obs     = {res}    15,036
                                                {txt}{help j_robustsingular:F(2, 16) }         =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.1110
                                                {txt}Root MSE          =    {res} .31296

{txt}{ralign 78:(Std. err. adjusted for {res:17} clusters in {res:dummies})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     ENP_cst{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}yr {c |}{col 14}{res}{space 2}-.0021024{col 26}{space 2} .0004706{col 37}{space 1}   -4.47{col 46}{space 3}0.000{col 54}{space 4}-.0031001{col 67}{space 3}-.0011048
{txt}{space 2}vv1million {c |}{col 14}{res}{space 2}  .045099{col 26}{space 2} .0136567{col 37}{space 1}    3.30{col 46}{space 3}0.004{col 54}{space 4} .0161482{col 67}{space 3} .0740499
{txt}{space 2}popmillion {c |}{col 14}{res}{space 2} .0168911{col 26}{space 2} .0088633{col 37}{space 1}    1.91{col 46}{space 3}0.075{col 54}{space 4}-.0018982{col 67}{space 3} .0356804
{txt}{space 12} {c |}
{space 5}dummies {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.1630875{col 26}{space 2} .0641795{col 37}{space 1}   -2.54{col 46}{space 3}0.022{col 54}{space 4}-.2991419{col 67}{space 3}-.0270332
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0152475{col 26}{space 2} .0026961{col 37}{space 1}    5.66{col 46}{space 3}0.000{col 54}{space 4} .0095321{col 67}{space 3} .0209629
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.1332446{col 26}{space 2} .0140888{col 37}{space 1}   -9.46{col 46}{space 3}0.000{col 54}{space 4}-.1631115{col 67}{space 3}-.1033777
{txt}{space 10}7  {c |}{col 14}{res}{space 2} -.079712{col 26}{space 2} .0310999{col 37}{space 1}   -2.56{col 46}{space 3}0.021{col 54}{space 4}-.1456409{col 67}{space 3}-.0137831
{txt}{space 10}8  {c |}{col 14}{res}{space 2} -.036449{col 26}{space 2} .0913256{col 37}{space 1}   -0.40{col 46}{space 3}0.695{col 54}{space 4}-.2300505{col 67}{space 3} .1571525
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.0713461{col 26}{space 2}  .001342{col 37}{space 1}  -53.16{col 46}{space 3}0.000{col 54}{space 4}-.0741911{col 67}{space 3}-.0685011
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.1805539{col 26}{space 2} .0102931{col 37}{space 1}  -17.54{col 46}{space 3}0.000{col 54}{space 4}-.2023743{col 67}{space 3}-.1587335
{txt}{space 9}13  {c |}{col 14}{res}{space 2}  .033444{col 26}{space 2} .0082149{col 37}{space 1}    4.07{col 46}{space 3}0.001{col 54}{space 4} .0160292{col 67}{space 3} .0508589
{txt}{space 9}15  {c |}{col 14}{res}{space 2}-.1697517{col 26}{space 2} .0172721{col 37}{space 1}   -9.83{col 46}{space 3}0.000{col 54}{space 4}-.2063669{col 67}{space 3}-.1331364
{txt}{space 9}16  {c |}{col 14}{res}{space 2}-.1424367{col 26}{space 2} .0495439{col 37}{space 1}   -2.87{col 46}{space 3}0.011{col 54}{space 4}-.2474651{col 67}{space 3}-.0374083
{txt}{space 9}17  {c |}{col 14}{res}{space 2}-.0218913{col 26}{space 2} .0233024{col 37}{space 1}   -0.94{col 46}{space 3}0.361{col 54}{space 4}-.0712902{col 67}{space 3} .0275076
{txt}{space 9}21  {c |}{col 14}{res}{space 2}-.0345068{col 26}{space 2} .0101925{col 37}{space 1}   -3.39{col 46}{space 3}0.004{col 54}{space 4} -.056114{col 67}{space 3}-.0128996
{txt}{space 9}24  {c |}{col 14}{res}{space 2}-.1937348{col 26}{space 2} .0266312{col 37}{space 1}   -7.27{col 46}{space 3}0.000{col 54}{space 4}-.2501905{col 67}{space 3}-.1372791
{txt}{space 9}26  {c |}{col 14}{res}{space 2} -.152794{col 26}{space 2} .0406621{col 37}{space 1}   -3.76{col 46}{space 3}0.002{col 54}{space 4}-.2389938{col 67}{space 3}-.0665942
{txt}{space 9}50  {c |}{col 14}{res}{space 2} -.036173{col 26}{space 2} .0063049{col 37}{space 1}   -5.74{col 46}{space 3}0.000{col 54}{space 4}-.0495388{col 67}{space 3}-.0228071
{txt}{space 9}51  {c |}{col 14}{res}{space 2} .2582932{col 26}{space 2} .0092346{col 37}{space 1}   27.97{col 46}{space 3}0.000{col 54}{space 4} .2387168{col 67}{space 3} .2778697
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 6.040637{col 26}{space 2} .9015996{col 37}{space 1}    6.70{col 46}{space 3}0.000{col 54}{space 4} 4.129331{col 67}{space 3} 7.951943
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store m1, title(GMT-5)

. 
. reg ENP_cst c.yr vv1million popmillion  i.dummies if timezones==6&south==0, cluster(dummies)

{txt}Linear regression                               Number of obs     = {res}     5,995
                                                {txt}{help j_robustsingular:F(2, 9) }          =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.1289
                                                {txt}Root MSE          =    {res} .28828

{txt}{ralign 78:(Std. err. adjusted for {res:10} clusters in {res:dummies})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     ENP_cst{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}yr {c |}{col 14}{res}{space 2}-.0020365{col 26}{space 2} .0004583{col 37}{space 1}   -4.44{col 46}{space 3}0.002{col 54}{space 4}-.0030733{col 67}{space 3}-.0009997
{txt}{space 2}vv1million {c |}{col 14}{res}{space 2} .0247233{col 26}{space 2} .0161324{col 37}{space 1}    1.53{col 46}{space 3}0.160{col 54}{space 4}-.0117707{col 67}{space 3} .0612173
{txt}{space 2}popmillion {c |}{col 14}{res}{space 2}-.0101278{col 26}{space 2} .0068682{col 37}{space 1}   -1.47{col 46}{space 3}0.174{col 54}{space 4}-.0256648{col 67}{space 3} .0054092
{txt}{space 12} {c |}
{space 5}dummies {c |}
{space 9}22  {c |}{col 14}{res}{space 2} .0027055{col 26}{space 2} .0239886{col 37}{space 1}    0.11{col 46}{space 3}0.913{col 54}{space 4}-.0515605{col 67}{space 3} .0569715
{txt}{space 9}28  {c |}{col 14}{res}{space 2}-.0288323{col 26}{space 2} .0321273{col 37}{space 1}   -0.90{col 46}{space 3}0.393{col 54}{space 4}-.1015092{col 67}{space 3} .0438446
{txt}{space 9}30  {c |}{col 14}{res}{space 2}-.0008326{col 26}{space 2} .0301502{col 37}{space 1}   -0.03{col 46}{space 3}0.979{col 54}{space 4}-.0690371{col 67}{space 3} .0673719
{txt}{space 9}32  {c |}{col 14}{res}{space 2} .0872642{col 26}{space 2} .0353663{col 37}{space 1}    2.47{col 46}{space 3}0.036{col 54}{space 4} .0072601{col 67}{space 3} .1672682
{txt}{space 9}34  {c |}{col 14}{res}{space 2} .0156528{col 26}{space 2} .0390269{col 37}{space 1}    0.40{col 46}{space 3}0.698{col 54}{space 4}-.0726321{col 67}{space 3} .1039376
{txt}{space 9}36  {c |}{col 14}{res}{space 2} .0073341{col 26}{space 2} .0434251{col 37}{space 1}    0.17{col 46}{space 3}0.870{col 54}{space 4}-.0909003{col 67}{space 3} .1055686
{txt}{space 9}42  {c |}{col 14}{res}{space 2}-.0527145{col 26}{space 2} .0515418{col 37}{space 1}   -1.02{col 46}{space 3}0.333{col 54}{space 4}-.1693101{col 67}{space 3} .0638811
{txt}{space 9}43  {c |}{col 14}{res}{space 2} .0314827{col 26}{space 2} .0516631{col 37}{space 1}    0.61{col 46}{space 3}0.557{col 54}{space 4}-.0853873{col 67}{space 3} .1483528
{txt}{space 9}45  {c |}{col 14}{res}{space 2}-.0508589{col 26}{space 2}  .043053{col 37}{space 1}   -1.18{col 46}{space 3}0.268{col 54}{space 4}-.1482516{col 67}{space 3} .0465338
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 5.944301{col 26}{space 2} .8379019{col 37}{space 1}    7.09{col 46}{space 3}0.000{col 54}{space 4} 4.048835{col 67}{space 3} 7.839767
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store m2, title(GMT-6)

. 
. reg ENP_cst c.yr vv1million popmillion  i.dummies if timezones==7&south==0, cluster(dummies)

{txt}Linear regression                               Number of obs     = {res}       857
                                                {txt}{help j_robustsingular:F(2, 5) }          =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.1428
                                                {txt}Root MSE          =    {res} .21045

{txt}{ralign 78:(Std. err. adjusted for {res:6} clusters in {res:dummies})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     ENP_cst{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}yr {c |}{col 14}{res}{space 2}-.0038044{col 26}{space 2} .0010714{col 37}{space 1}   -3.55{col 46}{space 3}0.016{col 54}{space 4}-.0065585{col 67}{space 3}-.0010503
{txt}{space 2}vv1million {c |}{col 14}{res}{space 2}  .608002{col 26}{space 2} .2700835{col 37}{space 1}    2.25{col 46}{space 3}0.074{col 54}{space 4}-.0862698{col 67}{space 3} 1.302274
{txt}{space 2}popmillion {c |}{col 14}{res}{space 2} .0469536{col 26}{space 2} .0116122{col 37}{space 1}    4.04{col 46}{space 3}0.010{col 54}{space 4} .0171034{col 67}{space 3} .0768037
{txt}{space 12} {c |}
{space 5}dummies {c |}
{space 9}38  {c |}{col 14}{res}{space 2} .1210023{col 26}{space 2} .0137324{col 37}{space 1}    8.81{col 46}{space 3}0.000{col 54}{space 4} .0857021{col 67}{space 3} .1563026
{txt}{space 9}40  {c |}{col 14}{res}{space 2} .1026521{col 26}{space 2} .0230792{col 37}{space 1}    4.45{col 46}{space 3}0.007{col 54}{space 4} .0433252{col 67}{space 3} .1619789
{txt}{space 9}44  {c |}{col 14}{res}{space 2} .0962045{col 26}{space 2} .0178046{col 37}{space 1}    5.40{col 46}{space 3}0.003{col 54}{space 4} .0504363{col 67}{space 3} .1419728
{txt}{space 9}46  {c |}{col 14}{res}{space 2}  .035894{col 26}{space 2} .0231541{col 37}{space 1}    1.55{col 46}{space 3}0.182{col 54}{space 4}-.0236255{col 67}{space 3} .0954136
{txt}{space 9}47  {c |}{col 14}{res}{space 2}-.0636857{col 26}{space 2} .0134713{col 37}{space 1}   -4.73{col 46}{space 3}0.005{col 54}{space 4}-.0983149{col 67}{space 3}-.0290565
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 9.233337{col 26}{space 2} 2.042192{col 37}{space 1}    4.52{col 46}{space 3}0.006{col 54}{space 4} 3.983716{col 67}{space 3} 14.48296
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store m3, title(GMT-7)

. 
. reg ENP_cst c.yr vv1million popmillion  i.dummies if timezones==8&south==0, cluster(dummies)

{txt}Linear regression                               Number of obs     = {res}     2,743
                                                {txt}{help j_robustsingular:F(2, 4) }          =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.1462
                                                {txt}Root MSE          =    {res} .32842

{txt}{ralign 78:(Std. err. adjusted for {res:5} clusters in {res:dummies})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     ENP_cst{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}yr {c |}{col 14}{res}{space 2}-.0072091{col 26}{space 2} .0015997{col 37}{space 1}   -4.51{col 46}{space 3}0.011{col 54}{space 4}-.0116505{col 67}{space 3}-.0027677
{txt}{space 2}vv1million {c |}{col 14}{res}{space 2} 1.236342{col 26}{space 2} .0967373{col 37}{space 1}   12.78{col 46}{space 3}0.000{col 54}{space 4} .9677565{col 67}{space 3} 1.504928
{txt}{space 2}popmillion {c |}{col 14}{res}{space 2} .0145538{col 26}{space 2} .0041576{col 37}{space 1}    3.50{col 46}{space 3}0.025{col 54}{space 4} .0030106{col 67}{space 3}  .026097
{txt}{space 12} {c |}
{space 5}dummies {c |}
{space 9}33  {c |}{col 14}{res}{space 2} .3300534{col 26}{space 2}  .056222{col 37}{space 1}    5.87{col 46}{space 3}0.004{col 54}{space 4} .1739562{col 67}{space 3} .4861505
{txt}{space 9}35  {c |}{col 14}{res}{space 2}  .477668{col 26}{space 2} .0673193{col 37}{space 1}    7.10{col 46}{space 3}0.002{col 54}{space 4} .2907597{col 67}{space 3} .6645763
{txt}{space 9}39  {c |}{col 14}{res}{space 2} .3266616{col 26}{space 2} .0680361{col 37}{space 1}    4.80{col 46}{space 3}0.009{col 54}{space 4}  .137763{col 67}{space 3} .5155601
{txt}{space 9}41  {c |}{col 14}{res}{space 2} .4215871{col 26}{space 2} .0650539{col 37}{space 1}    6.48{col 46}{space 3}0.003{col 54}{space 4} .2409687{col 67}{space 3} .6022056
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 15.53645{col 26}{space 2} 3.052477{col 37}{space 1}    5.09{col 46}{space 3}0.007{col 54}{space 4} 7.061413{col 67}{space 3} 24.01148
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store m4, title(GMT-8)

. 
. estout m1 m2 m3 m4 using TableA5_The_Effect_of_Distance_on_Number_Parties.text, cells(b(star fmt(4)) se(par fmt(5)))legend label stats(r2) varlabels(_cons Constant)
{res}{txt}(output written to {browse  `"TableA5_The_Effect_of_Distance_on_Number_Parties.text"'})

{com}. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}D:\ESCRITORIOHP\LEONARDO\PAPER2\PAPER2\2022\PS&RM\R&R\harvadtataverse\Log_Lago4.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}27 Dec 2022, 08:37:48
{txt}{.-}
{smcl}
{txt}{sf}{ul off}